Headquarters: Denver, CO;New York, NY;Atlanta, GA;Seattle, WA;United States - Remote

 

About Gusto

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

 
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

 
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

As a Staff Engineer on the Developer Productivity - AI Developer Tools team, you will be the architectural anchor shaping the AI platform that accelerates engineering across Gusto. You will redefine how our entire engineering organization builds, tests, and ships software by architecting a highly secure, context-aware, "AI-native" development lifecycle.

Your mission is to eliminate developer friction through AI tools, multi-agent systems, and intelligent automation. Whether you are building bespoke internal coding assistants, automating sprawling codebase refactors, or deploying AI to self-heal CI/CD pipelines, your work will directly multiply the velocity of hundreds of builders. Help us drive developer productivity by building the next generation of AI tools.

About the Team:

The AI Developer Tools team is a specialized team within Developer Productivity. We believe AI is the next great leap in software craftsmanship. Our goal is to provide every builder at Gusto with a suite of "superpowers" tools that deeply understand our codebase and absorb operational toil so engineers can focus on creative problem-solving. We treat our fellow engineers as our primary customers, prioritizing developer experiences that are not just powerful, but absolutely delightful to use.

Here’s what you’ll do day-to-day:

• Architect AI Core Infrastructure: Design, scale, and maintain the internal platform and APIs that integrate LLMs into the developer workflow, with a heavy focus on autonomous agents, custom retrieval-augmented generation (RAG), and smart context-delivery systems.
• Drive Technical Leadership & Vision: Establish engineering best practices for building with AI at Gusto, including robust evaluation frameworks (evals), guardrails for code safety, and strategies for optimizing model latency and token spend.
• Collaborate & Evangelize: Partner closely with product engineering teams to uncover systemic friction points, and collaborate with core Infrastructure and Security teams to ensure all AI tooling is scalable, compliant, and secure.
• Optimize Feedback Loops: Identify and eliminate critical bottlenecks in the local-to-production lifecycle at scale across Gusto.
• Maintain Enterprise Reliability: Treat AI infrastructure with production-grade rigor. Monitor system health, diagnose complex integration or networking issues, and mitigate model drift or downtime.

Here’s what we're looking for:

• 8+ Years of Systems Expertise: You are a seasoned engineer who is highly comfortable navigating massive, complex codebases and delivering production-grade, distributed software.
• Production AI Experience: You have a proven track record of moving AI beyond prototypes. You possess a deep understanding of prompt engineering, fine-tuning, RAG architectures, and orchestrating multi-agent workflows.
• Developer-First Mindset: You are passionate about Developer Experience and Productivity. You intuitively understand what makes an internal tool frictionless, fast, and empowering for other engineers.
• Strategic Execution: You don't just build wrappers; you think deeply about data privacy, security, cost management, and systemic reliability when deploying AI solutions.
• Exceptional Communication: You can seamlessly translate bleeding-edge AI capabilities into clear, actionable infrastructure strategies, mentoring junior engineers and aligning cross-functional stakeholders along the way.
• Working as a Team: You work across team boundaries and bring other teams and groups along with you towards our strategic vision.

Our cash compensation amount for this role is targeted at $180,000/yr to $200,000/yr in Denver & most remote locations, $220,000/yr to $245,000/yr for San Francisco, New York & Seattle. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.

To apply: https://weworkremotely.com/remote-jobs/gusto-inc-staff-software-engineer-ai-developer-tools

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.

Responsibilities

• Large-Scale Pre-Training: Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.

• Architecture & Alignment Innovation: Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.

• Data Strategy: Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.

• Experimental Research: Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.

• Optimization & Debugging: Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.

• System Scalability: Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.

Requirements

• A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

• Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.

• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Imunify360 Security Suite is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention. Check out our website for more information: imunify360.com

We are looking for an experienced AI Pipeline Engineer to own the automated pipelines that turn threat intelligence into shipped protection for tens of millions of websites.

When a new vulnerability appears, a chain of automated systems has to notice it, obtain the vulnerable source, produce WAF rules, generate tests, prove the rules work and don’t break legitimate traffic, and roll it out across tens of millions of websites; then watch production hard enough to pull it back automatically if it misbehaves. Today that chain exists and runs 24⁄7, and a single unreliable link could cost customers their protection. We are looking for a strong Engineer to expand it rapidly while keeping it reliable and transparent. This involves solving hard engineering problems, working with data at scale, in a world with many surprises.

This is not an analyst role and not a research role, but additional experience in this domain is welcome. What we need is someone who builds systems that keep working: complex logic underneath, boring and reliable on the outside. The position is fully remote with flexible hours, allowing you to plan your day and work from anywhere in the world.

What you would own

Systems that are in production today and need to grow considerably:

• The automated protection pipeline — the chain from threat intelligence to a validated, deployed rule. Multi-stage, largely autonomous, and required to finish inside a fixed time window every day.
• Progressive release automation — rolling protection out across the fleet in controlled stages, with automated guardrails that hold or roll back a stage without a human in the loop.
• Quality gates — deciding, from live production signal, whether something we shipped is doing harm, and acting on that before it reaches the next stage. Errors are costly in both directions: miss a problem and customer sites break; over-correct and protection is silently removed.
• CI at scale — validation that stands up real, disposable environments across a large matrix of software versions and configurations, and returns a trustworthy verdict fast enough to stay inside the release window.
• LLM orchestration and cost control — several subsystems are driven by AI agents inside purpose-built harnesses, with evaluation, budgets and spend accounting as load-bearing components.
• Observability and alerting across all of it — the pipelines are expected to report their own condition, prove they are healthy, and escalate on their own.

This runs on top of a petabyte-scale threat-intelligence store and live telemetry from more than 60 million websites, under strict end-to-end latency budgets measured in hours. The failure mode we care most about eliminating is a budget missed silently.

We will go into the specifics during the interview process.

Key responsibilities

• Designing, building and operating the automated pipelines described above, end to end;
• Turning fragile multi-stage batch jobs into resumable, idempotent, observable systems with explicit state machines and recovery paths;
• Defining and enforcing latency budgets and SLOs per stage, and making violations visible and actionable rather than silent;
• Building the observability layer — metrics, dashboards, alerting and health gates — so the pipeline reports its own condition instead of needing someone to go and look;
• Designing and implementing guardrails: automatic hold and rollback, blast-radius limits, kill switches, and safe-by-default behavior when an upstream dependency is unavailable;
• Making the systems low-maintenance: eliminating manual steps, removing standing human babysitting, and reducing the operational surface rather than adding to it;
• Writing and maintaining unit and integration tests for logic that is genuinely hard to test — concurrency, partial failure, external API flakiness, multi-stage state;
• Investigating and resolving complex issues across ClickHouse, GitLab CI, S3/object storage, Prometheus/Grafana and third-party APIs;
• Collaborating with the security analysts and the Server team on architecture, and pushing back when a proposed design will not survive contact with production.

To thrive in this role, you should have:

• 5+ years of professional backend / platform / infrastructure engineering experience;
• Demonstrable experience building and operating multi-stage data or automation pipelines — CI/CD systems, ETL/ELT, build and release automation, job orchestration, ML/data platforms, or similar. This is the single most important requirement. We will ask you to walk us through one in detail;
• Real depth in at least one of Python, Go or Rust. We use all three, and we are not hiring a language specialist — which one you bring genuinely does not matter. Depth is simply how we verify the experience behind it is real, so expect specific questions about systems you have designed and shipped: why they are shaped the way they are, how they behave under failure, and what you would build differently today;
• Systems design judgement, more than raw coding throughput. The difficult part of this role is deciding what to build, working out where it will break, and making it prove its own correctness — not volume of code produced;
• Practical experience with workflow orchestration and job scheduling (Airflow, Temporal, Prefect, Dagster, Argo, custom schedulers — whatever you have actually run in production);
• A working instinct for reliability engineering : idempotency, retries with backoff, exactly-once vs at-least-once, checkpointing and resumability, graceful degradation, backpressure, and safe handling of partial failure;
• Hands-on observability experience — Prometheus/Grafana, LGTM stack, or equivalent — including designing metrics rather than only consuming dashboards someone else built;
• Deep CI/CD experience, ideally GitLab CI including dynamic/child pipelines and self-hosted runners; comfort with Docker and container-based test environments;
• Experience with object storage (S3/Ceph or equivalent) and with large-scale analytical stores — ClickHouse or another columnar database;
• Comfort designing state machines and long-running processes that survive restarts, and reasoning about concurrency across multiple in-flight rollouts;
• Excellent debugging skills across system, network and data layers;
• Strong communication skills and comfort working in a distributed team;
• At least upper-intermediate proficiency in spoken and written English.

Nice to have:

• Experience with progressive delivery — canary and percentage-based rollouts, feature flags, automated rollback, blast-radius control;
• Experience running AI/LLM systems in production , particularly cost control, token accounting, evaluation harnesses, and dealing with non-deterministic components inside a deterministic pipeline;
• Experience with fleet-scale telemetry and with building quality gates on top of noisy production signal;
• Familiarity with WordPress, PHP, or WAF/ModSecurity concepts;
• Experience with configuration management (Ansible, Puppet, Salt) and with Linux service operations.

You do not need a cybersecurity background. Most of the hard problems here are orchestration, reliability, correctness under concurrency and observability. Domain knowledge is learnable and we have specialists to learn it from — pipeline engineering judgement is what we cannot substitute.

We value engineers who are:

• Curious and fearless problem solvers — not afraid to dig into existing systems, investigate root causes, and propose improvements;
• Sceptical by default — who ask what would falsify a conclusion before acting on it, and who trust measurements over plausible reasoning;
• Pragmatic and detail-oriented — focused on building reliable, maintainable systems, and allergic to solutions that require a human to remember something;
• Owners — comfortable being the person accountable for whether a pipeline ran correctly last night;
• Effective communicators — able to articulate ideas clearly, exchange feedback constructively, and foster collaboration across teams;
• Engaging and proactive — contributing energy, initiative, and a positive presence that strengthens team culture.

What’s in it for you?

• A strong focus on professional development with opportunities for learning and growth: interesting and challenging projects, mentor and other knowledge-exchange programs;
• Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide;
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves to ensure you maintain a healthy work-life balance;
• Compensation for private medical insurance;
• Co-working and gym/sports reimbursement;
• The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation.

By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy, which provides detailed information on how we maintain and handle your data.

As Salesforce Architect, you will be the technical backbone of Marqeta’s Business Systems team, a lean, high-impact group that serves as the internal Salesforce platform team for Go-To-Market (GTM), Product Support, and Legal, Risk & Compliance (LRC). This is a heavily hands-on lead individual contributor role,  you will be writing code, configuring the platform, and directly solving hard technical and business problems, not just producing designs for others to build.

We are looking for someone who has genuinely operated as an architect, owning architecture decisions, tradeoffs, and their consequences for at least 2 years, not an engineer aspiring to grow into the title. You will set the architectural direction for our Salesforce platform, conduct code reviews, lead architecture and design sessions, build and maintain the technical backlog, proactively identify gaps in systems and processes, and independently drive solutions to completion. You will also be a hands-on builder: configuring, coding, and deploying complex solutions across Sales Cloud, Service Cloud, Experience Cloud, and our ongoing migration from CPQ to Revenue Cloud. You will drive our Agentforce and AI strategy, own integrations with critical systems like Ironclad, Intacct, and the broader GTM toolchain, and play a lead role in ongoing security hardening of the Salesforce org.

Your work will directly support strategic company-wide initiatives, improve customer experience, and increase productivity for internal users across GTM, support, and compliance functions.

We work Flexible First. This role can be performed remotely in the United States, only in one of our National locations, which you can review here.

The Impact You’ll Have

Architecture & Design

• Own end-to-end Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and Revenue Cloud (including our active CPQ → Revenue Cloud migration)
• Lead architecture and design sessions, producing clear design documents, solution options, and tradeoff analyses
• Author and maintain coding and design standards for SFDC and ecosystem applications.
• Conduct thorough code reviews and enforce engineering best practices, security standards, and declarative-first design principles
• Build and maintain the technical backlog—translating platform observations, stakeholder needs, and audit findings into well-scoped engineering work
• Proactively identify gaps in system design, data integrity, automation, and integrations; propose and deliver solutions before they become incidents
• Conduct regular Org Health Assessments and define a continuous improvement roadmap for platform quality, security, and performance
• Own Salesforce release management pipeline,  sandbox strategy, source code control, CI/CD tooling and assessment ensuring clean, auditable deployments

Development & Delivery

• Design, build, test, and deploy solutions in an Agile framework using Apex, Lightning Web Components, Flows, REST/SOAP APIs, and platform events
• Lead the technical design and implementation of Agentforce and AI-powered automation across GTM, customer support, and compliance workflows
• Design and build integrations with internal and external systems, including Ironclad (CLM), Snowflake, and other GTM/RevOps tooling
• Define testing strategy, write test scripts, and execute tests to meet quality and coverage standards across releases
• Maintain high sprint velocity while upholding code quality and documentation standards

Security & Platform Hardening

• Own hands-on remediation of Salesforce security findings across the full spectrum, session/certificate hardening, sharing model and default access control fixes, data exposure and classification gaps, public link/OAuth and connected app governance, and secure-coding fixes (SOQL injection, XSS, hardcoded credentials, sharing violations) surfaced by code scans
• Leverage Salesforce Shield Event Monitoring to capture and analyze login, API, and transaction logs moving from passive log collection to proactive threat detection, anomaly alerts, and audit-ready reporting
• Design for appropriate data classification, access controls, and auditability across compliance-critical Salesforce objects
• Evaluate and implement platform monitoring/SSPM tooling recommendations, working cross-functionally with security and compliance stakeholders
• Implement and maintain the org’s backup and recovery solution including configuring backup schedules, monitoring job health, and running restore/recovery procedures when needed

Technical Leadership & Collaboration

• Provide technical mentorship and guidance to junior and mid-level engineers on the Business Systems team
• Partner with the Engineering Manager to scope, estimate, and prioritize platform work
• Translate complex business requirements from GTM, LRC, and Product Support into well-architected, scalable Salesforce solutions
• Communicate technical tradeoffs and architecture decisions clearly to non-technical stakeholders
• Lead stakeholder demos and participate in Agile ceremonies including standups, sprint planning, and retrospectives

Who You Are

• 10+ years of Salesforce technical experience spanning development, configuration and architecture, including at least 2 years functioning in an actual Architect capacity with a strong, defensible point of view on technical direction(owning architecture decisions and their outcomes)
• Deep hands-on experience with Sales Cloud, Service Cloud, and Experience Cloud
• Experience with Revenue Cloud or a strong CPQ background with a demonstrated path toward Revenue Cloud migration work
• Proficiency in Apex, Lightning Web Components, Flows, REST/SOAP APIs, and platform events
• Direct experience leading or heavily contributing to a Salesforce security hardening effort
• Proven experience conducting code reviews and enforcing engineering best practices on a platform team
• Demonstrated ability to build and manage a technical backlog translating org health findings, stakeholder requests, and architectural gaps into actionable engineering work
• Experience proactively identifying system and process gaps and driving solutions to completion without requiring explicit direction
• Experience architecting and building integrations with external systems (CLM, ERP, data platforms, or similar)
• Familiarity with Agentforce, Einstein AI, or other Salesforce AI/automation capabilities
• Excellent communication skills, able to engage credibly with both engineers and senior business stakeholders
• Ability to reliably prioritize and complete work independently with minimal supervision

Nice-To-Haves

• Salesforce Certified Technical Architect (CTA) or Application/System Architect credentials or equivalent demonstrated architect-level experience
• Experience with SSPM/security monitoring tooling (e.g. Falcon Shield, Reco) or Salesforce Shield (Event Monitoring, Field Audit Trail)
• Salesforce Revenue Cloud or CPQ Specialist certification
• Experience with Ironclad or other CLM platforms
• Experience with Tableau, Snowflake, Looker, or similar data platforms in a Salesforce integration context

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. Compensation is aligned according to three tiers within the United States:

• National: A baseline tier that applies to most of the geographic territory of the United States.
• Premium: Slightly elevated from the National tier, and oriented toward a narrower set of higher cost-of-living areas, such as Los Angeles CA and Seattle WA
• Premium Plus: A tier for the most expensive working areas, like the San Francisco Bay area and New York City.

Visit this page or consult with a Recruiter to determine which tier would be applicable to you.

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position is:

• National: 138,100 - 172,600

We also believe in recognizing the contributions of our people. That’s why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible time off – take what you need
• Retirement savings program with company contribution and after tax contributions
• Equity in a publicly-traded company and an Employee Stock Purchase Program
• Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
• Free therapy sessions, financial and professional coaching, and legal advice
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Through Flex First, the freedom to live and work wherever you and your family thrive

About Marqeta

Marqeta is on a mission to change the way money moves. We’re one of the earliest enablers of embedded finance, a market opportunity sized up in the trillions. Our card issuing platform provides unprecedented flexibility and control for companies to issue cards, authorize transactions, and manage payment operations in real time. Marqeta is powering the most well known brands in the new economy (Block, Cash App, Affirm, Instacart, Doordash, Uber, Walmart, etc). You don’t need to be a Payments expert to join the Marqeta Team, let us help you with that.  This is the opportunity of a lifetime to work with innovators around the world and unlock equitable financial access for all.

Marqeta’s Values

– Solve for the Customer: With a deep understanding of our customers’ business and empathy for their needs, we deliver products and services that drive their success. Earning and keeping their trust guides everything we do.

– Do What’s Right: Knowing businesses and livelihoods depend on us, we pursue solutions that disrupt responsibly and deliver high-quality results that our customers count on. We own our work from start to finish.

– Simplify and Innovate: We approach challenges with curiosity and take smart risks. Innovation comes from finding better, simpler ways to achieve extraordinary outcomes.

– Win as a Team: We succeed together by embracing diverse perspectives and pushing each other to raise the bar. We lead with humility and set aside hierarchy to work as a team.

– Make it Count: We drive forward with focus and agility. With a sense of urgency and purpose, we get the job done, and done right.

Equal Employment Opportunity, Accommodations and Privacy

Marqeta is an equal opportunity employer committed to an inclusive workplace that fosters belonging. We do not discriminate based on race, color, religion, sex (including pregnancy, lactation, childbirth, or related medical conditions), veteran status or uniformed service member status, age, national origin or ancestry, citizenship or immigration status, physical or mental disability, gender identity, gender expression, sexual orientation, genetic information (including testing or characteristics) or any other characteristic protected by applicable law. We also consider qualified applicants with criminal histories, consistent with legal requirements.

Marqeta endeavors to make reasonable accommodations for applicants with disabilities. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please submit this form with your specific accommodation request.

Personal data that is provided as part of the application and recruitment process is processed in accordance with the Applicant Privacy Notice. Additional information for California residents can be found here.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

​

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a staff software engineer to be a technical leader on our Metadata team, which owns the metadata layer of the dbt platform — the discovery API, catalog, lineage, and run history services that let customers understand, trust, and act on what their data is doing.

As a Staff Software Engineer, you’ll contribute to the technical direction for the team. You’ll own the architecture of major subsystems, lead complex projects that span multiple engineers, and raise the bar for design and code quality across the team. You’ll spend your time on the hardest technical problems, and multiply the team through design reviews, coaching, and mentorship.

This is a full-time, fully remote position.

Technologies You’ll Use

Python, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog

What You’ll Do

• Lead the design and delivery of complex, team-level projects across the Metadata services, coordinating development across multiple engineers
• Independently design and develop the architecture of new subsystems, and own team-level subsystems end to end
• Use AI tooling and agents — across development and SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
• Review and approve technical designs, ensuring they meet a high quality bar, and identify design deficiencies before they ship
• Drive technical initiatives across the team’s responsibility areas — discovery API, catalog, lineage, and run history
• Set and uphold design, architecture, and coding best practices, and hold teammates accountable for code quality
• Coach and mentor engineers, demonstrably improving the quality of code across the team
• Write technical specs, document common components, and keep the team accountable for necessary project documentation
• Fix and optimize critical parts of the codebase, drive incident follow-through, and advance the reliability and performance of the services you own
• Participate periodically in the on-call rotation

Skills We’re Looking For

• 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion
• Deep expertise designing and owning subsystems in distributed, cloud-based systems
• Demonstrated ability to set technical direction for a team and drive multi-engineer initiatives across an area of ownership
• Excellent design and architecture judgment; identifies design flaws in existing systems and proposes sound solutions with clear trade-offs
• Writes exemplary, well-tested code that serves as a model for others, and reliably estimates and delivers sprint to sprint
• Strong track record of raising quality through code review, coaching peers, and enforcing accepted engineering practices
• Experience partnering with QE on test strategy and owning operational health — incidents, post-mortems, reliability, and performance
• Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
• Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and managing dev infrastructure
• Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to author, review, and synthesize SDLC artifacts — and able to model those practices for a team

Bonus Skills

• Experience in data processing (ETL, ELT) and/or cloud-based data platforms
• Experience architecting metadata, catalog, lineage, or discovery/search systems
• Experience with GraphQL APIs and high-throughput, multi-tenant data services
• Familiarity with the analytics engineering workflow and the dbt ecosystem

California Pay Range

$183,000 - $245,000 USD

Perks and Benefits

• 100% employer-paid medical insurance
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

May vary by country and worker type - please reach out to your recruiter for more information

Perks and Benefits

• 100% employer-paid medical insurance *
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
• RSU stock grants*
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

* May vary by country and worker type - please reach out to your recruiter for more information

Click here to learn more about Fivetran’s Benefits by Region.

We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.

To learn more about our candidate privacy policy, you can read our statement here.

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

The Data and Storage Services team is responsible for Affirm’s data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

The Online Storage team provides a set of managed databases as a platform, used to persist data for all Affirm services. Our platform enables self-service access to OLTP storage systems, including Relational DB(MySQL), DynamoDB, Distributed SQL, Cache(Redis). As a team, we are responsible for various data and access patterns, including but not limited to mission-critical financial transactional data, data science models, and any new persistence use case. These responsibilities require us to learn and gain deep expertise in various database systems.

We are looking for a highly skilled and detail-oriented Staff Software Engineer who can drive the technical roadmap for our Databases (Relational and KeyValue) identifying opportunities to improve how we build, productize, operate and improve this mission-critical infrastructure to unlock substantial value within our business. You’ll have the opportunity to directly influence your team’s roadmap in close collaboration with your peers, share your knowledge and expertise with others and learn from some of the best on our shared mission to deliver honest financial products that improve lives.

What You’ll Do

As an integral member of the Online Storage team,

• You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.

• You will work closely with and contribute to other teams - including product, infrastructure, and site reliability engineering (SRE).

• You will design and build components of a scalable datastore platform, contributing to the overall Affirm’s goals, and leveraging experience in creating multi-region, horizontally scalable, globally available, and high-performance datastore solutions.

• You will develop control planes for management, self service of hundreds of databases at scale automating schema/data migrations, disaster recovery, sharding and performance tuning.

• You will collaborate across teams in the product development lifecycle, focusing on database solutions, by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.

• You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.

• You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.

• You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.

• You will help develop talent on your team by providing feedback and guidance, and leading by example.

What We Look For

• You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.

• You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes.

• You have 5+ years of hands-on Database Expertise, leveraging your deep knowledge of Relational and/or Distributed SQL such as MySQL, PostgreSQL, TiDB/Vitess  to optimize database performance, ensuring data integrity, and implementing efficient data access patterns. Should possess deep understanding of Database fundamentals including schema design, query optimization, scaling, partitioning, sharding and performance tuning in multiple functional environments. Strong background and expertise in building and operating databases in cloud environments. Expertise in database benchmarking, load testing, and capacity planning. Familiarity with connection poolers and proxies such as ProxySQL, RDS Proxy, Pg Bouncer, etc.

• You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.

• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.

• Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.

• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Pay Grade - P

Equity Grade - 7

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).

CAN base pay range per year: $181,000 - 241,000 CAD

This posting is for an existing vacancy.

#LI Remote

This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Position Summary:

With team members and customers in 39 countries around the globe, HostPapa is currently one of the fastest-growing web hosting companies with a wide range of products available. At its core, we provide individuals and small and medium-sized businesses with access to valuable tools and services critical to their online success, including a Website Builder service for making website creation an ultra-easy task for anyone. Tailored to meet every user’s unique needs, our award-winning customer support, email, and cloud-based solutions keep HostPapa at the cutting edge of the web hosting industry and innovation by putting our customers first.

As a Senior AI-Enabled Full-Stack Developer, you’ll be at the forefront of integrating AI into our product experience, using it to solve real-world problems at scale. We’re looking for developers who think critically about user needs, challenge assumptions, and build with both precision and purpose. You’ll work with tools like Next.js, TypeScript, shadcn/ui, Supabase, and an evolving AI toolchain to create intelligent, adaptive features that enhance our platform and deliver measurable value to customers.

What you’ll do:

• Influence product direction by challenging assumptions and advocating for user-first decisions
• Design scalable architectures and break them into actionable components with clear rationale
• Build full-stack apps using Next.js, TypeScript, shadcn/ui, Supabase/Postgres, and edge functions
• Develop AI-driven workflows that accelerate development while ensuring correctness
• Lead code reviews, mentor peers, and uphold high engineering standards
• Monitor and optimize performance, security, and cost in production environments
• Collaborate async with global teams across product, design, and operations

About you:

• 7+ years in production web apps, 3+ with React/Next.js 14+
• Expert in TypeScript, modern React patterns, and API/system design
• Strong with Postgres/MySQL and CI/CD automation
• Experience integrating and evaluating AI/LLMs
• Writes comprehensive tests (unit, integration, E2E)
• Passionate about using AI to streamline development

Soft Skills & Traits:

• Strong communicator, especially async
• Data-driven, collaborative, and precise
• Values correctness and clarity over speed
• Curious about practical AI use, not hype

What we offer:

• Work from anywhere - this is a remote opportunity
• A competitive salary that values you and your unique skill sets
• Career advancement & professional development opportunities to help you reach your full potential
• Flexible work arrangements to support work/life balance

About us:

At HostPapa, we’ve been committed to providing a complete array of enterprise-grade cloud services solutions to every business owner since 2006. These services, traditionally out of reach to smaller businesses, are offered in a one-stop shop, making it quick and easy for customers to select the services they need to grow. We back these offerings with 24⁄7 award‑winning customer support in four languages.

Our HostPapa family values diversity and inclusion. We have a friendly company culture built on trust and respect spanning the entire company. With the acquisition of several companies into our product portfolio within the past year, we’re growing at an incredible rate and have ample opportunities for career growth.

Come join our talented team of enthusiastic, hard-working, passionate, driven people engaged in meaningful, innovative work. We can’t wait to meet you!

HostPapa is an equal-opportunity employer committed to diversity and inclusion. As a multicultural organization, we encourage individual achievement and recognize the strength of our diverse team.

HostPapa is committed to providing accommodations for people with disabilities. If you require accommodation, please let us know, and we will work with you to meet your needs. Accommodation may be provided in all parts of the hiring process.

It is anticipated that this position will be performed outside of Ontario.

Imunify360 Security Suite is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention. Check out our website for more information: imunify360.com

We are looking for an experienced AI Pipeline Engineer to own the automated pipelines that turn threat intelligence into shipped protection for tens of millions of websites.

When a new vulnerability appears, a chain of automated systems has to notice it, obtain the vulnerable source, produce WAF rules, generate tests, prove the rules work and don’t break legitimate traffic, and roll it out across tens of millions of websites; then watch production hard enough to pull it back automatically if it misbehaves. Today that chain exists and runs 24⁄7, and a single unreliable link could cost customers their protection. We are looking for a strong Engineer to expand it rapidly while keeping it reliable and transparent. This involves solving hard engineering problems, working with data at scale, in a world with many surprises.

This is not an analyst role and not a research role, but additional experience in this domain is welcome. What we need is someone who builds systems that keep working: complex logic underneath, boring and reliable on the outside. The position is fully remote with flexible hours, allowing you to plan your day and work from anywhere in the world.

What you would own

Systems that are in production today and need to grow considerably:

• The automated protection pipeline — the chain from threat intelligence to a validated, deployed rule. Multi-stage, largely autonomous, and required to finish inside a fixed time window every day.
• Progressive release automation — rolling protection out across the fleet in controlled stages, with automated guardrails that hold or roll back a stage without a human in the loop.
• Quality gates — deciding, from live production signal, whether something we shipped is doing harm, and acting on that before it reaches the next stage. Errors are costly in both directions: miss a problem and customer sites break; over-correct and protection is silently removed.
• CI at scale — validation that stands up real, disposable environments across a large matrix of software versions and configurations, and returns a trustworthy verdict fast enough to stay inside the release window.
• LLM orchestration and cost control — several subsystems are driven by AI agents inside purpose-built harnesses, with evaluation, budgets and spend accounting as load-bearing components.
• Observability and alerting across all of it — the pipelines are expected to report their own condition, prove they are healthy, and escalate on their own.

This runs on top of a petabyte-scale threat-intelligence store and live telemetry from more than 60 million websites, under strict end-to-end latency budgets measured in hours. The failure mode we care most about eliminating is a budget missed silently.

We will go into the specifics during the interview process.

Key responsibilities

• Designing, building and operating the automated pipelines described above, end to end;
• Turning fragile multi-stage batch jobs into resumable, idempotent, observable systems with explicit state machines and recovery paths;
• Defining and enforcing latency budgets and SLOs per stage, and making violations visible and actionable rather than silent;
• Building the observability layer — metrics, dashboards, alerting and health gates — so the pipeline reports its own condition instead of needing someone to go and look;
• Designing and implementing guardrails: automatic hold and rollback, blast-radius limits, kill switches, and safe-by-default behavior when an upstream dependency is unavailable;
• Making the systems low-maintenance: eliminating manual steps, removing standing human babysitting, and reducing the operational surface rather than adding to it;
• Writing and maintaining unit and integration tests for logic that is genuinely hard to test — concurrency, partial failure, external API flakiness, multi-stage state;
• Investigating and resolving complex issues across ClickHouse, GitLab CI, S3/object storage, Prometheus/Grafana and third-party APIs;
• Collaborating with the security analysts and the Server team on architecture, and pushing back when a proposed design will not survive contact with production.

To thrive in this role, you should have:

• 5+ years of professional backend / platform / infrastructure engineering experience;
• Demonstrable experience building and operating multi-stage data or automation pipelines — CI/CD systems, ETL/ELT, build and release automation, job orchestration, ML/data platforms, or similar. This is the single most important requirement. We will ask you to walk us through one in detail;
• Real depth in at least one of Python, Go or Rust. We use all three, and we are not hiring a language specialist — which one you bring genuinely does not matter. Depth is simply how we verify the experience behind it is real, so expect specific questions about systems you have designed and shipped: why they are shaped the way they are, how they behave under failure, and what you would build differently today;
• Systems design judgement, more than raw coding throughput. The difficult part of this role is deciding what to build, working out where it will break, and making it prove its own correctness — not volume of code produced;
• Practical experience with workflow orchestration and job scheduling (Airflow, Temporal, Prefect, Dagster, Argo, custom schedulers — whatever you have actually run in production);
• A working instinct for reliability engineering : idempotency, retries with backoff, exactly-once vs at-least-once, checkpointing and resumability, graceful degradation, backpressure, and safe handling of partial failure;
• Hands-on observability experience — Prometheus/Grafana, LGTM stack, or equivalent — including designing metrics rather than only consuming dashboards someone else built;
• Deep CI/CD experience, ideally GitLab CI including dynamic/child pipelines and self-hosted runners; comfort with Docker and container-based test environments;
• Experience with object storage (S3/Ceph or equivalent) and with large-scale analytical stores — ClickHouse or another columnar database;
• Comfort designing state machines and long-running processes that survive restarts, and reasoning about concurrency across multiple in-flight rollouts;
• Excellent debugging skills across system, network and data layers;
• Strong communication skills and comfort working in a distributed team;
• At least upper-intermediate proficiency in spoken and written English.

Nice to have:

• Experience with progressive delivery — canary and percentage-based rollouts, feature flags, automated rollback, blast-radius control;
• Experience running AI/LLM systems in production , particularly cost control, token accounting, evaluation harnesses, and dealing with non-deterministic components inside a deterministic pipeline;
• Experience with fleet-scale telemetry and with building quality gates on top of noisy production signal;
• Familiarity with WordPress, PHP, or WAF/ModSecurity concepts;
• Experience with configuration management (Ansible, Puppet, Salt) and with Linux service operations.

You do not need a cybersecurity background. Most of the hard problems here are orchestration, reliability, correctness under concurrency and observability. Domain knowledge is learnable and we have specialists to learn it from — pipeline engineering judgement is what we cannot substitute.

We value engineers who are:

• Curious and fearless problem solvers — not afraid to dig into existing systems, investigate root causes, and propose improvements;
• Sceptical by default — who ask what would falsify a conclusion before acting on it, and who trust measurements over plausible reasoning;
• Pragmatic and detail-oriented — focused on building reliable, maintainable systems, and allergic to solutions that require a human to remember something;
• Owners — comfortable being the person accountable for whether a pipeline ran correctly last night;
• Effective communicators — able to articulate ideas clearly, exchange feedback constructively, and foster collaboration across teams;
• Engaging and proactive — contributing energy, initiative, and a positive presence that strengthens team culture.

What’s in it for you?

• A strong focus on professional development with opportunities for learning and growth: interesting and challenging projects, mentor and other knowledge-exchange programs;
• Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide;
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves to ensure you maintain a healthy work-life balance;
• Compensation for private medical insurance;
• Co-working and gym/sports reimbursement;
• The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation.

By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy, which provides detailed information on how we maintain and handle your data.

Are you interested in being part of an innovative team that supports Westinghouse’s mission to provide clean energy solutions?

Company Description

👋🏼 We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

REQUIREMENTS:

• Total experience: 11+ years.

• Strong hands-on experience in Java and Spring Boot for backend application development.

• Must-have expertise in Angular for building modern, scalable web applications.

• Strong experience in designing and developing RESTful APIs and service-based architectures.

• Hands-on experience with PostgreSQL and relational database design.

• Experience working with API Management/Integration platforms such as Apigee, Kong, or MuleSoft.

• Strong understanding of Object-Oriented Programming (OOP), software design patterns, clean architecture, and separation of concerns.

• Hands-on experience with CI/CD pipelines, containerized development, and cloud-native deployment environments.

• Strong experience implementing automated testing across unit, integration, and end-to-end testing.

• Experience applying secure coding practices, including authentication, authorization, input validation, data protection, and OWASP principles.

• Familiarity with AI-assisted development tools for code generation, refactoring, documentation, and engineering productivity.

• Strong experience working in Agile (Scrum/Kanban) product development environments.

• Experience participating in code reviews, technical design discussions, and architecture reviews.

• Strong debugging, problem-solving, communication, and stakeholder collaboration skills.

• Ability to write clean, maintainable, scalable, and production-quality code following engineering best practices.

RESPONSIBILITIES:

• Design, develop, and maintain scalable backend services using Java Spring Boot.

• Design, develop, and maintain modern frontend applications using Angular.

• Build, enhance, and maintain RESTful APIs, integrations, and business services.

• Develop scalable, secure, and high-performance full-stack applications following clean architecture principles.

• Apply software design patterns, object-oriented principles, and clean coding practices throughout the development lifecycle.

• Contribute to system architecture, technical design, solution decomposition, and implementation decisions.

• Review and improve application architecture, code quality, maintainability, and overall engineering standards.

• Implement secure coding practices, ensuring application security, data protection, and compliance with OWASP guidelines.

• Develop and execute automated tests across unit, integration, and end-to-end testing levels.

• Build and manage CI/CD pipelines while supporting containerized and cloud-native deployments.

• Leverage AI development tools responsibly to accelerate coding, testing, refactoring, documentation, and engineering productivity.

• Perform code reviews, root cause analysis, debugging, and performance optimization to improve system reliability and scalability.

• Collaborate closely with Product Managers, Architects, QA, Platform teams, and other stakeholders in Agile environments.

• Identify technical risks early and recommend effective solutions to ensure high-quality software delivery.

• Drive continuous improvement in engineering practices, development processes, and product quality.

Additional Information

Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Remote · Full Time · Individual Contributor · +7 Years of Experience

Site Reliability Engineer

Who We Are

Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald’s, NetEase Games, GoFundMe, and Rappi run their payments on Yuno.

About The Role

Yuno is looking for a Staff Site Reliability Engineer to set the technical direction for reliability across our infrastructure — starting with the platform that provisions, deploys, and manages AI agents at scale on AWS, the system powering payments across 190+ countries. The platform is in production and growing, and we need the most senior reliability voice in the room to evolve the architecture and make sure it stays reliable, observable, and ready to scale.

This is not a “maintain what exists” role, and it’s not a single-system role. You’ll own the reliability strategy — driving architectural decisions, designing event-driven communication, defining how we measure and defend reliability, and setting the standards other engineering teams build on.

How AI Shows Up in This Role

• The platform you own is Yuno’s AI agent infrastructure — provisioning and deploying AI agents at scale, plus the agents that route payments and prevent fraud. Keeping the AI-native layer reliable is the core of the role

• AI is our default execution layer: you’re encouraged to use AI-assisted tooling across automation, runbooks, incident analysis, and root-cause investigations, and to help define how the wider engineering org adopts it. We care how you use it, not whether you do

Your Contribution Will Be

• Reliability strategy and standards — define the SLO culture, error-budget policy, and incident practices that scale across engineering teams, turning reliability from firefighting into a measurable, org-wide discipline

• Platform architecture and evolution — drive architectural decisions as the platform matures; the deciding voice on choosing technologies, designing systems, and when to evolve the infrastructure

• Messaging and event-driven architecture — design and own the messaging layer for inter-service communication, replacing synchronous patterns with durable, reliable async messaging

• Infrastructure and deployment — own the cloud infrastructure, automate provisioning with IaC, and ensure the platform scales reliably as transaction volume grows

• Observability — build the monitoring, tracing, and alerting that keeps the platform healthy; when something breaks at 3am, your dashboards and alerts should explain why before anyone has to dig

• Incident leadership and mentorship — act as the senior escalation point for the hardest production problems, run blameless postmortems and root-cause analyses that turn into permanent fixes, and raise the reliability bar by mentoring senior and mid-level engineers

• Chaos engineering mindset— continuous fault injection and resilience experiments that surface weaknesses before they turn into incidents, plus identifying and proposing resilience patterns to prevent those failures from reaching production.

What Success Looks Like

Within your first 6–12 months, you’ve set the reliability strategy for the platform, driven at least one major architectural evolution (event-driven messaging, streaming reliability, or observability), and engineering teams have adopted the SLO and error-budget framework you defined. You’re the person Yuno trusts with the hardest reliability calls.

Skills You Need

Minimum Qualifications

• Event-driven architecture and messaging systems — you’ve designed and owned systems around message queues (Kafka, NATS, RabbitMQ) and understand at-least-once delivery, consumer groups, dead letters, and backpressure; you’ve migrated a system from synchronous to async

• Deep AWS — EC2, VPC, IAM, S3, and RDS — with strong networking fundamentals, since inter-service communication runs over the internal VPC

• Infrastructure as Code — Terraform or Pulumi, reviewed in PRs rather than clicked in consoles

• Kubernetes and Docker in production — container lifecycle, resource limits, health checks, and orchestration at scale

• Observability and SLOs — Datadog fluency or equivalent (dashboards, monitors, APM, distributed tracing), and a track record defining and operating SLOs, SLIs, and error budgets across services

• Chaos engineering and resilience testing — hands-on experience with fault injection, game days, or chaos experiments (Gremlin, Chaos Mesh, AWS FIS, or similar) to harden production systems

• Distributed systems debugging — you’ve diagnosed async flows and cascading failures in production and can explain what broke and how you fixed it; comfortable coding for automation and tooling (Go, Python, or similar)

• Databases — solid SQL (PostgreSQL) and NoSQL (MongoDB, Redis): when to use each, indexing, replication, and performance tuning

• Proven technical leadership — you’ve set reliability standards, influenced architecture across teams, and mentored engineers, not just owned your own scope

• English — advanced proficiency, written and spoken

Preferred Qualifications

• AI / MLOps infrastructure — running AI workloads in production (model serving, LLM inference, GPU/resource management, and agent evaluation/observability tools like LangFuse, LangSmith, Braintrust, or MLflow)

• Multi-tenant container platforms — running customer or user workloads in containers (Replit, Railway, Fly.io, or internal PaaS)

• Data pipelines and orchestration — Airflow, Prefect, or similar; data warehouses like Databricks, Snowflake, or BigQuery a plus

• Incident management and on-call tooling — PagerDuty, Opsgenie, or incident.io

• Experience in the payments industry

Nice to Have

• ECS experience

• s6-overlay for container process supervision

• Experience with AI agent framework ecosystems

• Spanish proficiency

What We Offer at Yuno

• Competitive Compensation

• Remote Work — you can work from everywhere

• Home Office Bonus — a one-time allowance to set up your ideal home office

• Work Equipment

• Stock Options

• Health Plan wherever you are

• Flexible Days Off

• Language, Professional, and Personal Growth courses

Disclaimer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at [email protected].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed or wish to exercise your data protection rights, please contact us at [email protected].

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We’re seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer.

This role is fully remote for a candidate based in the United States with US citizenship.

We’re looking for someone who

• Is a full stack engineer with a willingness to take on both frontend tasks and backend tasks
• Has experience with the design and architecture of a modern, scalable, high availability web application
• Has experience working with databases
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Would enjoy chasing down difficult problems in a distributed environment
• Always strives to expand their knowledge

Nice to Haves

• Knowledge of database internals and tuning mechanisms, particularly indexing
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Experience working with websocket based client to server communication
• Familiarity with developing and supporting microservice based architectures using Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2273494846

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$126,000—$248,000 USD

Principal AI Engineer

BuzzBoard  ·  Remote (WFH)  ·  Engineering / AI

The role

BuzzBoard builds AI products for the B2SMB market — helping agencies, media companies, and sellers understand small businesses and market to them at a level of personalization that wasn’t previously economical. Our platform is built on frontier models end to end. Not AI features bolted onto a legacy product — the products are agent systems.

Our products span multi-agent marketing content generation, real-time AI voice intake, and pre- and post-sales intelligence for SMBs — Zylo, IRIS, Ignite, and Ember. They share a common internal pipeline for orchestration, retrieval, tool use, evaluation, and deployment.

This role owns the architecture underneath that pipeline. Not one feature — the shared layer every product depends on: how retrieval is built and measured, how agents reason and hold state and fail safely, which models run where and what happens when one degrades, how output quality is evaluated before it ships, and where the line sits between what a model decides and what deterministic code decides. You’ll set that architecture, build the reusable patterns products inherit, guide the engineers implementing them, and own whether it holds up in production at volume.

It’s a senior individual-contributor role. Two boundaries, stated plainly:

• Not a research role. The deliverable is a shipped, reliable capability, not a paper or a demo.
• Not a DevOps role. You need to be fluent in deployment and able to get a service into production, but full-time platform ownership sits elsewhere. Your center of gravity is AI system design.

If your GenAI experience is mostly notebooks and proofs of concept that never carried real traffic, this is not the role.

What you’ll own

AI system architecture. Design the systems behind content generation, business intelligence, recommendations, and agentic workflows — including where the boundary sits between what a model decides and what deterministic code decides. Create reusable patterns, prompts, evaluation flows, and orchestration layers that hold up across products rather than being rebuilt per feature.

Agentic workflows. Lead the design of agents that reason, call tools and APIs, manage state, checkpoint, and hand tasks off cleanly. Build the guardrails that keep them grounded and predictable — the hard part is not making an agent act, it’s making it fail safely and legibly when it’s wrong.

Retrieval and model strategy. Design RAG pipelines end to end: chunking, embeddings, metadata, reranking, and retrieval evaluation that actually measures whether the right context arrived. Own model selection across ecosystems on the axes that matter — cost, latency, accuracy, reliability — and define the fallback and model-switching behavior for when a provider degrades.

Evaluation and quality. Stand up the evaluation frameworks that decide whether an AI output ships: output quality, edit ratio, hallucination rate, schema adherence, latency, failure rate, inference cost. Build regression testing so a prompt or model change can’t silently break production. Turn “the output feels off” into a measured threshold.

Production readiness. Partner with engineering and platform teams so systems are deployable, observable, and maintainable. Package services (Python, FastAPI/Flask, Docker) when it’s the fastest path, and diagnose the production failure modes specific to AI — rate limits, cost spikes, model failures, degraded output — rather than escalating them blind.

Technical leadership. Mentor GenAI engineers, review designs and prompts and workflows and evals, and translate product requirements into architecture with measurable acceptance criteria. Communicate the tradeoffs to engineers and to leadership in language each can act on.

What we’re looking for

Required

• 5+ years in engineering, AI, ML, or data-product work; 3+ years hands-on with GenAI / LLM systems
• Production GenAI experience — non-negotiable. You have built or scaled systems that carried real traffic, and you can walk through one in detail: what broke, what it cost, what you changed.
• Deep working knowledge of LLMs and SLMs: prompt engineering, structured outputs, tool and function calling
• Hands-on with at least two major LLM ecosystems, and able to reason about the tradeoffs between them rather than defaulting to the one you know
• RAG built for real: vector stores (Chroma, Pinecone, Weaviate, FAISS, or equivalent), embeddings, semantic search, and retrieval quality you’ve actually measured
• Hands-on with at least one agentic framework (LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent) and the underlying concepts — memory, state, tool integration, failure handling — well enough to move across frameworks
• Strong Python; comfortable with REST APIs, Docker, a cloud platform, and basic CI/CD
• Demonstrated evaluation work: regression testing, hallucination checks, schema validation, output scoring — you can define metrics for quality, reliability, cost, and business impact
• Track record guiding a small team or owning AI architecture end to end
• Comfort creating structure in a fast-moving environment with shifting requirements

Preferred

• Fine-tuning or supervised training workflows
• SLM and open-source model deployment; model serving with vLLM, Ollama, or TensorRT-LLM
• Multimodal work across text, image, audio, or video
• Kubernetes or serverless deployment
• Evaluation/observability tooling — LangSmith, MLflow, Weights & Biases, or equivalent
• Marketing technology, SMB intelligence, or content-automation domain experience
• Responsible AI, privacy, security, and compliance practice
• Experience scaling AI systems that generate high volumes of content, recommendations, or insights

What we care most about

• You’ve built or scaled real GenAI systems, not just demos
• You design AI workflows that are reliable, testable, and cost-aware from the start
• You make practical model, prompt, retrieval, and architecture calls and can defend them
• You know how to balance model intelligence against deterministic logic and engineering guardrails
• You stay hands-on while guiding engineers — neither purely a manager nor purely an IC
• You think past “which model” to the whole system around the model

What this role is not

• Not a research or publications role
• Not full-time DevOps or platform ownership
• Not a role for someone whose GenAI track record is demos that never took production traffic

What we offer

• Fully remote
• A production GenAI foundation already carrying real volume — you scale it, you don’t start from zero
• Genuine architectural ownership over the agentic systems that come next
• A small, high-context team that moves quickly and argues about the work
• Real impact on small businesses

Apply if you’ve shipped GenAI systems that carried real traffic and you want to own the architecture of what comes next.

Company Description

👋🏼 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Additional Information

Click here to access the application privacy notice

Company Description

👋🏼 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Additional Information

Click here to access the application privacy notice

Company Description

👋🏼 We’re Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We’re looking for great new colleagues. That’s where you come in!

Job Description

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Additional Information

Click here to access the application privacy notice

Company Description

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.

At Arista we value the diversity of thought and perspectives that each employee brings to the table. We  believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.

Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.

Job Description

Who You’ll Work With

Arista Networks is looking for world-class software engineers to join our Extensible Operating System (EOS) software development team. As a core member of the EOS team, you will be part of a fast-paced, high caliber team-building features to run the world’s largest data center networks. Your software will be a key component of Arista’s EOS, Arista’s unique, Linux-based network operating system that runs on all of Arista’s data center networking products.

The EOS team is responsible for all aspects of the development and delivery of software meant to run on the various Arista switches. You will work with your fellow engineers and members of the marketing team to gather and understand the functional and technical requirements for upcoming projects. You will help write functional specifications, design specifications, test plans, and the code to bring all of these to life. You will also work with customers to triage and fix problems in their networks. Internally, you will develop automated tests for your software, monitor the execution of those tests, and triage and fix problems found by your tests. At Arista, you will own your projects from definition to deployment, and you will be responsible for the quality of everything you deliver.

What You’ll Do

This role demands strong and broad software engineering fundamentals, and ideally a good understanding of networking including capabilities like L2, L3, and fundamentals of commercial switching HW. Your role will not be limited to a single aspect of EOS at Arista, but cover all aspects of EOS.

Responsibilities:

• Write functional specifications and design specifications for features related to forwarding traffic on the internet and cloud data centers.
• Independently implement solutions to small-sized problems in our EOS software, using the C and C++ programming languages.
• Write test plan specifications for small-sized features in EOS, and implement automated test programs to execute the cases described in the test plan.
• Debug problems found by our automated test programs and fix the problems.
• Work on a team implementing, testing, and debugging solutions to larger routing protocol problems.
• Worth with Customer Support Engineers to analyze problems in customer networks and provide fixes for those problems when needed in the form of new software releases or software patches.
• Work with the System Test Engineers to analyze problems found in their tests and provide fixes for those problems.
• Mentor new and junior engineers to bring them up to speed in Arista’s software development environment.
• Review and contribute to the specifications and implementations written by other team members.
• Help to create a schedule for the implementation and debugging tasks, update that schedule weekly, and report it to the project lead.

#Embedded Software Engineer #Embedded C #C++ #Microcontrollers #ARM Cortex-M #RTOS #Device Drivers #Embedded Linux #debugging #firmware development #hardware-software integration

Qualifications

• BSc, MS or Ph.D. in Computer Science/Electrical Engineering/Computer Engineering with 5+ years of related post graduate work experience
• Knowledge of C and/or C++.
• Knowledge of UNIX or Linux.

#LI-EO1

Principal AI Engineer

BuzzBoard  ·  Remote (WFH)  ·  Engineering / AI

The role

BuzzBoard builds AI products for the B2SMB market — helping agencies, media companies, and sellers understand small businesses and market to them at a level of personalization that wasn’t previously economical. Our platform is built on frontier models end to end. Not AI features bolted onto a legacy product — the products are agent systems.

Our products span multi-agent marketing content generation, real-time AI voice intake, and pre- and post-sales intelligence for SMBs — Zylo, IRIS, Ignite, and Ember. They share a common internal pipeline for orchestration, retrieval, tool use, evaluation, and deployment.

This role owns the architecture underneath that pipeline. Not one feature — the shared layer every product depends on: how retrieval is built and measured, how agents reason and hold state and fail safely, which models run where and what happens when one degrades, how output quality is evaluated before it ships, and where the line sits between what a model decides and what deterministic code decides. You’ll set that architecture, build the reusable patterns products inherit, guide the engineers implementing them, and own whether it holds up in production at volume.

It’s a senior individual-contributor role. Two boundaries, stated plainly:

• Not a research role. The deliverable is a shipped, reliable capability, not a paper or a demo.
• Not a DevOps role. You need to be fluent in deployment and able to get a service into production, but full-time platform ownership sits elsewhere. Your center of gravity is AI system design.

If your GenAI experience is mostly notebooks and proofs of concept that never carried real traffic, this is not the role.

What you’ll own

AI system architecture. Design the systems behind content generation, business intelligence, recommendations, and agentic workflows — including where the boundary sits between what a model decides and what deterministic code decides. Create reusable patterns, prompts, evaluation flows, and orchestration layers that hold up across products rather than being rebuilt per feature.

Agentic workflows. Lead the design of agents that reason, call tools and APIs, manage state, checkpoint, and hand tasks off cleanly. Build the guardrails that keep them grounded and predictable — the hard part is not making an agent act, it’s making it fail safely and legibly when it’s wrong.

Retrieval and model strategy. Design RAG pipelines end to end: chunking, embeddings, metadata, reranking, and retrieval evaluation that actually measures whether the right context arrived. Own model selection across ecosystems on the axes that matter — cost, latency, accuracy, reliability — and define the fallback and model-switching behavior for when a provider degrades.

Evaluation and quality. Stand up the evaluation frameworks that decide whether an AI output ships: output quality, edit ratio, hallucination rate, schema adherence, latency, failure rate, inference cost. Build regression testing so a prompt or model change can’t silently break production. Turn “the output feels off” into a measured threshold.

Production readiness. Partner with engineering and platform teams so systems are deployable, observable, and maintainable. Package services (Python, FastAPI/Flask, Docker) when it’s the fastest path, and diagnose the production failure modes specific to AI — rate limits, cost spikes, model failures, degraded output — rather than escalating them blind.

Technical leadership. Mentor GenAI engineers, review designs and prompts and workflows and evals, and translate product requirements into architecture with measurable acceptance criteria. Communicate the tradeoffs to engineers and to leadership in language each can act on.

What we’re looking for

Required

• 5+ years in engineering, AI, ML, or data-product work; 3+ years hands-on with GenAI / LLM systems
• Production GenAI experience — non-negotiable. You have built or scaled systems that carried real traffic, and you can walk through one in detail: what broke, what it cost, what you changed.
• Deep working knowledge of LLMs and SLMs: prompt engineering, structured outputs, tool and function calling
• Hands-on with at least two major LLM ecosystems, and able to reason about the tradeoffs between them rather than defaulting to the one you know
• RAG built for real: vector stores (Chroma, Pinecone, Weaviate, FAISS, or equivalent), embeddings, semantic search, and retrieval quality you’ve actually measured
• Hands-on with at least one agentic framework (LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent) and the underlying concepts — memory, state, tool integration, failure handling — well enough to move across frameworks
• Strong Python; comfortable with REST APIs, Docker, a cloud platform, and basic CI/CD
• Demonstrated evaluation work: regression testing, hallucination checks, schema validation, output scoring — you can define metrics for quality, reliability, cost, and business impact
• Track record guiding a small team or owning AI architecture end to end
• Comfort creating structure in a fast-moving environment with shifting requirements

Preferred

• Fine-tuning or supervised training workflows
• SLM and open-source model deployment; model serving with vLLM, Ollama, or TensorRT-LLM
• Multimodal work across text, image, audio, or video
• Kubernetes or serverless deployment
• Evaluation/observability tooling — LangSmith, MLflow, Weights & Biases, or equivalent
• Marketing technology, SMB intelligence, or content-automation domain experience
• Responsible AI, privacy, security, and compliance practice
• Experience scaling AI systems that generate high volumes of content, recommendations, or insights

What we care most about

• You’ve built or scaled real GenAI systems, not just demos
• You design AI workflows that are reliable, testable, and cost-aware from the start
• You make practical model, prompt, retrieval, and architecture calls and can defend them
• You know how to balance model intelligence against deterministic logic and engineering guardrails
• You stay hands-on while guiding engineers — neither purely a manager nor purely an IC
• You think past “which model” to the whole system around the model

What this role is not

• Not a research or publications role
• Not full-time DevOps or platform ownership
• Not a role for someone whose GenAI track record is demos that never took production traffic

What we offer

• Fully remote
• A production GenAI foundation already carrying real volume — you scale it, you don’t start from zero
• Genuine architectural ownership over the agentic systems that come next
• A small, high-context team that moves quickly and argues about the work
• Real impact on small businesses

Apply if you’ve shipped GenAI systems that carried real traffic and you want to own the architecture of what comes next.

What is Teachable?

Teachable is the platform for experts and businesses who take education seriously. In a world where anyone can ask AI for information, we’re the home for those who educate with purpose, modernity, and humanity. We help experts and businesses scale their impact and operations through courses, coaching, and digital downloads that students actually love. From a finance expert teaching Python for investment analysis to a multilingual coach offering business Spanish for executives, Teachable powers human-led learning that drives student trust, connection, and results. With a sleek, intuitive interface and AI as a time-saving partner, the platform enables transformative education rooted in real-world experience. Teachable experts have lived it—that’s why they teach it.Are you ready to join a dynamic, cross-cultural team at an exciting turning point in our company’s journey?

Part of the global Hotmart Company portfolio, whose platforms have helped creators, experts, and businesses earn more than $10 billion, Teachable continues to cement itself as a true industry leader. Together, Teachable and Hotmart are delivering market-leading products that prioritize student outcomes, business growth, and flexibility. If you have big ideas, relish the chance to challenge convention, and deeply believe in the power of real-world learning to shape the future, we want you on our team!

Teachable is a no-code platform for creators who want to build a more impactful business through courses, coaching, downloadable content, and community. With Teachable, creators can engage their online audiences and get paid-on their own terms. Today, tens of thousands of creators use Teachable to share their knowledge and, to date, have reached more than 46 million students around the world.

Are you ready to join a dynamic, cross-cultural team at an exciting turning point in our company’s journey? Now part of the global Hotmart Company portfolio, Teachable continues to take the creator economy by storm as a true industry leader. Together, Teachable and Hotmart are delivering market-leading products that prioritize creator control and flexibility, alongside meaningful partnership and support from our team. If you have big ideas, relish the chance to challenge convention, and deeply believe in the power of creators to shape the future, we want you on our team!

What is the role?

As a Senior Software Engineer, you will be responsible for automating repetitive tasks, streamlining the software development lifecycle, and optimizing deployment processes to enable faster and more reliable software releases. You will analyze existing engineering processes and workflows to identify bottlenecks, inefficiencies, and areas for improvement. With guild insights you will collaborate with engineering teams to design and implement process improvements, optimize code review processes, and implement continuous integration and delivery best practices.

This contract is CLT and paid in $BRL.

What You’ll Bring:

• 4+ years of hands-on experience building and supporting production web applications
• Experience utilizing tools such as Docker, Kubernetes, AWS, and Terraform
• Proficiency writing software used in a production environment
• Experience working on a platform with multiple services
• Excitement and motivation to expand your skillset and take on difficult challenges
• Team player mentality: highly collaborative, documentation-focused and recognizing how to balance asynchronous communications and virtual meetings
• A passion for solving complex technical problems in both new and legacy codebases
• A mindset of leaving the codebase better than how you found it
• Experience collaborating with multiple team members with varying experience levels to design and implement technical projects
• Ability to work and problem-solve independently
• A humble, collaborative, customer-focused, and highly curious approach to problem-solving

Nice to have:

• DevOps or SRE experience
• Proficiency in using Golang and Ruby in a production environment
• Experience on an engineering enablement or platform team or experience contributing engineering-wide initiatives

Additional Details:

At Teachable, we are committed to providing fair and competitive pay (using market data to inform our pay bands), rewarding high performance, and ensuring all employees have the opportunity and ability to impact Teachable’s overall company value. Base salaries will be reviewed at regular intervals throughout the year, typically following performance review cycles currently conducted annually or in conjunction with a promotion.

While Teachable maintains our NY office for local employees to use, we operate as a remote-first culture in order to give our employees added flexibility. In order to maintain connection and create a community beyond the screen, Teachable holds in-person events throughout the year, where employees and teams can come together for bonding, strategic alignment, goal-setting, and celebrations!

Teachable encourages individuals from a broad diversity of backgrounds to apply for positions. We are an equal opportunity employer, meaning we’re committed to a fair and consistent interview process. Please tell us in your application if you require an accommodation to apply for a job or to perform your job.

The MongoDB Database Experience team is a diverse group of contributors working together to help our users manage MongoDB at global scale. This includes building tools for MongoDB Atlas: our database as a service offering and fastest growing product which allows users to deploy fault-tolerant, globally distributed MongoDB clusters in just minutes.

We’re seeking a Senior Software Engineer to join our Developer Tools Team within the Database Experience department. The team is responsible for tools which allow users to interact with their data and to understand the health and performance of their MongoDB deployments. The Developer Tools Team works on a variety of APIs and customer-facing UIs empowering MongoDB users to interact with their stored data, whether that’s on desktop via MongoDB Compass or in the browser via Atlas Data Explorer.

This role is fully remote for a candidate based in the United States with US citizenship.

We’re looking for someone who

• Is a full stack engineer with a willingness to take on both frontend tasks and backend tasks
• Has experience with the design and architecture of a modern, scalable, high availability web application
• Has experience working with databases
• Enjoys collaboration and being part of a team
• Is approachable, curious, and intellectually honest
• Would enjoy chasing down difficult problems in a distributed environment
• Always strives to expand their knowledge

Nice to Haves

• Knowledge of database internals and tuning mechanisms, particularly indexing
• Previous work in TypeScript, React, and Node.js, particularly maintaining an ecosystem of dependencies
• Experience working with websocket based client to server communication
• Familiarity with developing and supporting microservice based architectures using Kubernetes

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2273494846

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.

MongoDB’s base salary range for this role in the U.S. is:

$126,000—$248,000 USD