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Trainee consultant learns Oracle Cloud technologies including ERP/HCM systems, data migration, reporting, and integrations while supporting live client projects under supervision.
For over 30 years, Version 1 has been a leading Oracle partner specialising in Enterprise Applications, delivering ERP, HCM and EPM solutions that enable organisations to transform and modernise their core systems.
Combining deep domain expertise with end-to-end delivery and managed services, we support some of the UK and Ireland’s largest organisations in driving business value through Oracle technology.
With 3,800+ people and revenues exceeding €347m/£302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe.
About the Programme
This trainee role is designed for early-career technologists who want to build a career in Oracle Cloud delivery. No prior Oracle experience is required. We provide structured training, certification sponsorship, and mentoring from experienced consultants and architects.
You will begin by supporting live client projects under supervision and progressively develop the skills and confidence to deliver independently.
Eligibility: Candidates must have the legal right to work in the UK at the time of application. Candidates must also be eligible to obtain the required security clearance, which typically requires a minimum of three consecutive years of UK residency immediately prior to the date of application.
Based on your aptitude, interests, and business needs, you will join one of two specialisation streams.
What You Will Learn and Do
Core Foundations (All Trainees)
All trainees will develop a strong foundation in:
Stream A: Data Migration & Reporting
You will gain hands-on experience in:
Stream B: Integrations & Extensions
You will gain hands-on experience in:
What We Look For
Aptitude and attitude matter more than experience.
What We Offer
Essential Requirements
Desirable Skills and Experience
Why Version 1?
You will:
At Version 1, you’ll combine industry-leading Oracle expertise, meaningful career progression, and the opportunity to deliver transformational outcomes for some of the world’s most recognised organisations.
Benefits include:
This is hybrid based with occasional travel to your nearest base office.
Krish Bharadwaj, Global Talent Acquisition – Enterprise Applications (Oracle Cloud - ERP, HCM, EPM)
#LI-KB1
Trainee consultant learns Oracle Cloud technologies through structured training, mentoring, and hands-on support on client projects in data migration, reporting, or integrations.
For over 30 years, Version 1 has been a leading Oracle partner specialising in Enterprise Applications, delivering ERP, HCM and EPM solutions that enable organisations to transform and modernise their core systems.
Combining deep domain expertise with end-to-end delivery and managed services, we support some of the UK and Ireland’s largest organisations in driving business value through Oracle technology.
With 3,800+ people and revenues exceeding €347m/£302m, Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe.
About the Programme
This trainee role is designed for early-career technologists who want to build a career in Oracle Cloud delivery. No prior Oracle experience is required. We provide structured training, certification sponsorship, and mentoring from experienced consultants and architects.
You will begin by supporting live client projects under supervision and progressively develop the skills and confidence to deliver independently.
Eligibility: Candidates must have the legal right to work in the UK at the time of application. Candidates must also be eligible to obtain the required security clearance, which typically requires a minimum of three consecutive years of UK residency immediately prior to the date of application.
Based on your aptitude, interests, and business needs, you will join one of two specialisation streams.
What You Will Learn and Do
Core Foundations (All Trainees)
All trainees will develop a strong foundation in:
Stream A: Data Migration & Reporting
You will gain hands-on experience in:
Stream B: Integrations & Extensions
You will gain hands-on experience in:
What We Look For
Aptitude and attitude matter more than experience.
What We Offer
Essential Requirements
Desirable Skills and Experience
Why Version 1?
You will:
At Version 1, you’ll combine industry-leading Oracle expertise, meaningful career progression, and the opportunity to deliver transformational outcomes for some of the world’s most recognised organisations.
Benefits include:
This is hybrid based with occasional travel to your nearest base office.
Krish Bharadwaj, Global Talent Acquisition – Enterprise Applications (Oracle Cloud - ERP, HCM, EPM)
#LI-KB1
Develops and maintains Android applications using Java and Kotlin, collaborating with cross-functional teams to deliver engaging user experiences from concept to deployment.
Design, develop, and maintain Android applications using Java and Kotlin to deliver engaging user experiences.
Collaborate with cross-functional teams, including UI/UX designers and backend developers, to gather requirements and ensure seamless integration.
Write clean, efficient, and maintainable code following best practices in mobile application development.
Participate in the entire app development lifecycle, from concept to deployment, ensuring timely delivery of high-quality software.
Troubleshoot and debug applications to optimize performance and responsiveness.
Stay updated with the latest trends and technologies in Android development, implementing new features and enhancements as needed.
Contribute to code reviews and provide constructive feedback to team members to maintain code quality.
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
1-2 years of experience in Android application development.
Proficiency in Java and Kotlin programming languages.
Strong understanding of Android SDK, application architecture, and best practices.
Experience with RESTful APIs for backend integration.
Familiarity with version control systems, preferably Git.
Knowledge of mobile UI/UX design principles.
Strong problem-solving skills and attention to detail.
Ability to work effectively in a team-oriented, agile environment.
Experience with automated testing and debugging tools is a plus.
Hybrid working model
Social and medical insurance
Transportation
Develops full-stack applications using React, Next.js, Node.js, and .NET while integrating AI tools into the software development lifecycle.
About RDA
RDA is a strategy-first, AI-driven digital consultancy that partners with enterprise organizations to deliver scalable digital solutions across strategy, engineering, and data. Proud to be a multi-year Great Place to Work certified company.
Location
Remote within the United States. We are primarily interested in candidates who reside in the Eastern or Central regions and can collaborate during EST business hours. Due to current hiring restrictions, we are unable to consider candidates who reside in California, Colorado, Oregon or Washington.
The Role
We’re seeking a Software Engineer to design, build, and deliver modern applications using Microsoft and JavaScript frameworks. This role is ideal for a developer who thrives in full-stack environments and is eager to integrate AI into the software development lifecycle. You’ll collaborate with cross-functional teams to create scalable solutions that power real business impact.
What You’ll Do
What We’re Looking For
Why Join RDA?
Ready to Make an Impact? Apply today to meet our team virtually and discover why RDA is the right place for your next career move.
No third parties, please. Only U.S. Citizens or U.S. Permanent Residents need apply.
Develops and programs software solutions as a junior developer with strong IT fundamentals, supporting the company's growing technical needs.
Junior cloud integration developer designs and builds secure, scalable healthcare integration solutions using Kubernetes, AWS, and cloud-native technologies on a federal modernization project.
We are currently looking for a Junior Cloud Integration Developer for a 100% remote position supporting a large federal government healthcare modernization project. This role will design, build, and support secure, scalable cloud-based integration solutions using Kubernetes, AWS integration services, healthcare interoperability standards, and modern cloud-native technologies. The developer will help strengthen enterprise integration capabilities across distributed healthcare systems.
The role works within a cross-functional engineering environment, collaborating with infrastructure, security, DevSecOps, and operations teams to support continuous delivery, production stability, observability, and reusable integration patterns.
The candidate must reside within the continental US.
Responsibilities
Design, develop, and support scalable cloud-based integration solutions using Kubernetes and AWS integration services.
Build and maintain healthcare interoperability solutions utilizing X12, HL7, and FHIR standards.
Implement continuous delivery and GitOps deployment workflows using Argo CD and related cloud-native technologies.
Configure and support observability, telemetry, logging, tracing, monitoring, and alerting using Datadog or similar platforms.
Implement Istio or similar service mesh technologies to enhance traffic management, security, reliability, and resilience across integration services.
Collaborate with engineering, infrastructure, security, and operations teams to establish reusable integration patterns, troubleshoot production issues, perform root-cause analysis, and maintain technical and operational documentation.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
Minimum of 2 years of professional experience developing cloud-based integrations using Kubernetes, including experience supporting enterprise integration platforms at scale.
Minimum of 2 years of hands-on experience with AWS integration services and cloud-native integration capabilities.
Minimum of 2 years of experience implementing healthcare interoperability solutions using X12, HL7, and FHIR standards.
Experience with Argo CD or similar continuous delivery technologies, Datadog or comparable observability platforms, and Istio or similar service mesh technologies.
Strong understanding of cloud integration patterns, APIs, microservices, distributed systems, telemetry, logging, tracing, alerting, container orchestration, and hybrid cloud architectures.
Strong analytical, troubleshooting, communication, and collaboration skills, with experience working in healthcare or another regulated environment.
Additional Qualifications
Experience supporting large-scale healthcare integration platforms and mission-critical production environments.
Previous experience supporting the Department of Veterans Affairs (VA) or other federal healthcare modernization programs is preferred.
Familiarity with DevSecOps, GitOps, cloud security, automated deployment, and production reliability practices is preferred.
Security Clearance Requirements
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits
Medical/Dental/Vision
401k with Employer Match
PTO + Federal Holidays
Corporate Laptop
Training Opportunities
Remote Opportunity
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
Develops fullstack software solutions for Affirm's international servicing platform, building features across frontend and backend systems.
Develops and maintains mobile apps, front-end UI, and RESTful APIs using .NET, React, and React Native for internal veterinary hospice tools and workflows.
Schedule: Monday - Friday; 8AM - 5PM ET
Classification: Full Time - Exempt
Salary: $95,000
Reports To: Sr. Manager of Systems Administration
Department: Innovation and Technology
Travel Required: Yes - 2%; annual travel for department onsite meeting (up to 4 days)
Location: Remote
Lap of Love is a national practice dedicated exclusively to in-home end-of-life care for pets. We believe all pets and their families deserve the most compassionate and supportive end-of-life experience. Our veterinarians help pets and their parents with quality of life assessments, pain and anxiety management, end-of-life consultations, and peaceful euthanasia in the comfort of their pet’s favorite place – home.
Position Description
Lap of Love Veterinary Hospice, headquartered in Lutz, FL., seeks to add a key member to its growing team by employing a Jr. Mobile and Front End developer to join our Systems Administration team, an extension of the Innovation and Technology department. As the Jr. Mobile and Front End developer, this individual will be a member of a team that contributes to the development and maintenance of RESTful APIs, mobile apps, and front end UI for our internal tools and systems. They’ll be working on a cross functional team tasked with integrating systems, building internal tools, and improving the day to day workflows that support the work that our Veterinarians perform in the field. This is a great opportunity for someone to come in and grow and learn while supporting a beautiful mission.
The ideal candidate will have a solid working knowledge of .NET 8, ASP.NET Core Web API, Entity Framework(EF8), React, React Native, and Expo. They should be comfortable working in an AWS environment. They will write high quality, testable code using detailed logging to observability tools like AWS Open Search, Cloud Watch, or Azure App Insights.
We work as a team here at Lap of Love. This person will be expected to work with a cross functional team consisting of development resources for the core Sunshine platform, our Cloud Administrator and Cloud Developer for all things DevOps, CI/CD, Terraform, and Cloud Provisioning along with project managers, product owners, and senior leadership. They should be comfortable translating business requirements into working code with minimal direct supervision.
In addition, Lap of Love is embracing AI tools. The ideal candidate will have a thorough understanding of using Claude Code or similar tools while maintaining a human-in-the-loop workflow.
Essential Functions and Responsibilities
Experience, Education, and Requirements
Physical and Other Job Requirements
This job posting is not intended to be an exhaustive list of duties, but it aims to highlight the typical main responsibilities of the position. At the request of their supervisor, this individual may be asked to perform additional duties or take on additional responsibilities to better meet the needs of their department.
Associate Data Engineer builds and maintains data extracts and distribution solutions using SQL and cloud platforms while partnering with clients and internal teams on healthcare data delivery.
About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.
Ready to make an impact? Join us and let’s build the future together.
About the Role
Our Data Engineering team is looking for an Associate Data Engineer. In this role, you will partner with clients, implementation teams, and internal stakeholders to help deliver high-quality data extracts and distribution solutions from Abacus’s core data management platform, which is built on scalable, flexible, and resilient cloud architectures.
This is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services.
We welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire.
Your day to day
What you bring to the team
What we would like to see, but not required
Compensation
Compensation for this role is $30/hour or $62,400 per annum.
What you’ll get in return
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding 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.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
QA engineer tests mobile applications, cloud software, and connected ultrasound devices to ensure product quality and reliability.
Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip™ semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market – commercializing the world’s first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3™. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI™), and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden™, its software development kit, and AI partnership initiative.
In addition to its medical imaging products, Butterfly Embedded™ is the Company’s Ultrasound-on-Chip™ licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded™, partners can build and scale novel ultrasound applications powered by Butterfly’s proprietary semiconductor chip and software platform. Butterfly’s innovations have been reconized by Prix Galien USA, Fierce 50, TIME’s Best Inventions and Fast Company’s World Changing Ideas, among other achievements.
We’re a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let’s build something extraordinary together!
We are looking for a hands-on QA Engineer to join our Software QA team in New York City. This is a hybrid in-person role for someone who enjoys using the product, finding what others miss, and working directly with engineers and product partners to make every release better.
You will spend most of your time testing real product workflows across our mobile applications, cloud software, and connected ultrasound devices. You do not need to know everything on day one. You do need to be curious, thorough, comfortable speaking up, and excited to learn how a medical technology product is built and released.
As part of our team, your core responsibilities will be:
What we are looking for:
Helpful experience, but not required:
Values
Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in…
Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.
This is a hybrid position and will be based in our New York City, NY office.
Compensation
Our estimated salary for this role based in NYC is around $85,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience, and market demand.
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.
Butterfly Network does not accept agency resumes.
Butterfly Network is an E-Verify Company.
Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.
Butterfly requires security adherence responsibilities from all employees. These include:Â adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedure.
#KG-LI
#LI-KG
Associate SDET develops and maintains automated test cases for UI and API components, integrating test suites with CI/CD pipelines to ensure product quality and reduce manual testing efforts.
BlueOptima provides industry-leading objective metrics in software development using its proprietary Coding Effort Analytics, enabling large organisations to deliver better software, faster and at lower cost. Founded in 2006, BlueOptima is a profitable, independent software company whose core technology was originally devised in research carried out at Cambridge University.
Headquartered in London, UK, BlueOptima operates through subsidiaries and offices across the UK, India, Mexico, the United States and Japan. Its technology is deployed by global enterprises — including Fortune 50 companies, major global banks and leading S&P constituents — to drive value from their software development activities, running complex analytics over very large source-code data sets.
BlueOptima is an Equal Opportunities employer.
We are seeking an associate SDET, with experience in automating tests for scalable application components, which are remotely deployed. Our distributed solution requires highly motivated and talented engineers to understand the depth of the problem and ensure its quality is maintained to a high standard.
We are looking for an individual with great attention to detail, who is genuine, committed and not only passionate about technology, but is keen to own the solution end to end and collaborate with other engineers to improve the QA process.
Your team: The Belfast team at BlueOptima caters to all current and upcoming product changes in Active MultiSite, which is our distributed version control solution. The team develops and maintains sets of automated test cases across UI and API, focusing on data-centric as well as integration test cases.
The team is responsible for making sure that manual efforts, and in turn the release cycles, are reduced by automating tests based on priority, along with integrating the test suites with CI/CD pipelines to ensure smooth delivery of features and products in an automated manner.
Responsibilities and tasks: the role will focus on, but not exclusively, the following:
Ensuring product quality:
Key Proficiencies:
Desired Skills:
Benefits:
Stay connected with us on LinkedIn or keep an eye on our career page for future opportunities!
Design and maintain high-volume ingestion and low-latency services for a federated intelligence platform that powers AI-native security detection at scale.
Enterprises of all sizes trust Abnormal’s AI-native security products to stop cybercrime and protect critical communications, identities, and infrastructure in the cloud. Our products are data- and systems-intensive, operating at high scale and low latency across multiple clouds and regions.
As a Software Engineer I on the Federated Intelligence Platform (FIP) team: you will design and maintain high-volume ingestion and low-latency services across global infrastructures, playing a vital role in upholding detection efficacy as the company expands its security footprint into identity and AI-agent protection. You’ll learn how to design and implement production-quality systems, work in an AI-native engineering environment, and contribute to services that are reliable, scalable, and security-critical.
FIP serves as the federated intelligence layer within the Abnormal Data Platform, managing the ingestion, storage, and retrieval of critical entity insights and threat indicators that drive core detection and the customer portal.
#LI-AD2
AI and our hiring process
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Build fullstack web applications and APIs for Affirm's international payment servicing platform, focusing on purchase protection and agent tooling systems.
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 Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
Join the pioneering Servicing International team at the forefront of Affirm’s global expansion, building the foundational platform to launch our products into a new generation of international markets. This role will focus on two critical parts of the user journey: purchase protection, including disputes and refunds, and agent tooling, which is essential for our agents to offer the best support possible to our customers—both significant areas of investment to ensure trust and satisfaction for our newest customers. The team collaborates closely with European engineering counterparts and engineers across our global Servicing Engineering organization to build cohesive, scalable solutions, and you’ll play an active part in that. If you are passionate about creating world-class user experiences and excited by the challenge of launching products in new regions, join us. Help build the next generation of Affirm’s platform and learn what it takes to define our presence around the world.
Base Pay Grade - J
Equity Grade - 2
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).
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
ESP base pay range per year: 57,000 - 87,000 EUR
Additional benefits include:
This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Spain
The majority of our roles can be located anywhere in Spain.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
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:
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.
Fullstack software engineer builds scalable purchase protection and agent tooling systems for Affirm's international expansion, working with React/Vue and APIs.
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 Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
Join the pioneering Servicing International team at the forefront of Affirm’s global expansion, building the foundational platform to launch our products into a new generation of international markets. This role will focus on two critical parts of the user journey: purchase protection, including disputes and refunds, and agent tooling, which is essential for our agents to offer the best support possible to our customers—both significant areas of investment to ensure trust and satisfaction for our newest customers. The team collaborates closely with European engineering counterparts and engineers across our global Servicing Engineering organization to build cohesive, scalable solutions, and you’ll play an active part in that. If you are passionate about creating world-class user experiences and excited by the challenge of launching products in new regions, join us. Help build the next generation of Affirm’s platform and learn what it takes to define our presence around the world.
Base Pay Grade - J
Equity Grade - 2
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).
POL base pay range per year: 203,000 - 303,000 zł
Additional benefits include:
This role is eligible for creative tax benefits, subject to applicable law and company policy
Location - Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
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:
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.
Associate Data Engineer supports client data extraction and delivery by performing data analysis, mapping, and quality checks on cloud-based healthcare data platforms.
About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.
We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.
Ready to make an impact? Join us and let’s build the future together.
About the Role
Our Data Engineering team is looking for an Associate Data Engineer. In this role, you will partner with clients, implementation teams, and internal stakeholders to help deliver high-quality data extracts and distribution solutions from Abacus’s core data management platform, which is built on scalable, flexible, and resilient cloud architectures.
This is an early-career opportunity designed for recent graduates who are excited to build a foundation in data engineering, healthcare data, and client-facing delivery. As a trusted partner to the team, you will support client adoption of Abacus’s data management offerings while developing hands-on experience in data analysis, mapping, SQL, data quality, and cloud-based data services.
We welcome applications from new graduates, including candidates currently authorized to work in the United States under F-1 Optional Practical Training (OPT). Candidates must be authorized to work in the United States at the time of hire.
Your day to day
What you bring to the team
What we would like to see, but not required
Compensation
Compensation for this role is $30/hour or $62,400 per annum.
What you’ll get in return
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding 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.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
QA Engineer tests mobile applications, cloud software, and ultrasound devices through functional and regression testing, documenting bugs and collaborating with engineering teams.
Butterfly Network, Inc. (NYSE: BFLY) is driving a digital revolution in ultrasound imaging and sensing with its proprietary Ultrasound-on-Chip™ semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market – commercializing the world’s first single-probe, whole-body portable ultrasound device, which is now on its best-selling, third-generation: Butterfly iQ3™. The Company combines its advanced hardware with cloud software and AI, an enterprise workflow solution (Compass AI™), and other offerings to drive adoption of affordable, accessible ultrasound. Butterfly also enables third-party development of imaging AI apps through Butterfly Garden™, its software development kit, and AI partnership initiative.
In addition to its medical imaging products, Butterfly Embedded™ is the Company’s Ultrasound-on-Chip™ licensing and co-development program designed to enable a new wave of ultrasound-enabled technologies across non-competitive healthcare markets and beyond. Through Butterfly Embedded™, partners can build and scale novel ultrasound applications powered by Butterfly’s proprietary semiconductor chip and software platform. Butterfly’s innovations have been reconized by Prix Galien USA, Fierce 50, TIME’s Best Inventions and Fast Company’s World Changing Ideas, among other achievements.
We’re a team of bold thinkers, problem-solvers, and innovators ready to shape the future of medical imaging. Let’s build something extraordinary together!
We are looking for a hands-on QA Engineer to join our Software QA team in New York City. This is a hybrid in-person role for someone who enjoys using the product, finding what others miss, and working directly with engineers and product partners to make every release better.
You will spend most of your time testing real product workflows across our mobile applications, cloud software, and connected ultrasound devices. You do not need to know everything on day one. You do need to be curious, thorough, comfortable speaking up, and excited to learn how a medical technology product is built and released.
As part of our team, your core responsibilities will be:
What we are looking for:
Helpful experience, but not required:
Values
Innovation is what we do. Our values are how we make it happen. Butterflies are and believe in…
Butterfly offers a hybrid work model for most positions, with team members spending two or more days a week in the office. While flexibility is key, we value in-person connections that spark creativity and teamwork. Our offices are designed for collaboration, with comfortable workspaces, stocked kitchens, and opportunities to connect with peers.
This is a hybrid position and will be based in our New York City, NY office.
Compensation
Our estimated salary for this role based in NYC is around $85,000 + bonus + equity + benefits. Actual pay is determined by multiple factors such as skills, qualifications, experience, and market demand.
Candidates must be authorized to work in the United States. Butterfly Network will not provide immigration sponsorship of any kind for this position, including but not limited to H-1B, TN, O-1, L-1, or green card sponsorship (this includes applicants that are in the process of obtaining a greencard), now or in the future.
Butterfly Network does not accept agency resumes.
Butterfly Network is an E-Verify Company.
Butterfly Network is an equal opportunity employer. Regardless of race, traits associated with race, color, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability or Veteran status. All your information will be kept confidential according to EEO guidelines.
Butterfly requires security adherence responsibilities from all employees. These include:Â adhering to all company security policies and procedures, utilize provided company assets securely, and complete all required security awareness training programs. Safeguarding company data and systems from unauthorized access, modification, or destruction, contributing to the overall security posture of the organization. Immediately reporting any suspected or actual security incidents, including phishing attempts, malware infections, or unauthorized access, following the established incident response procedure.
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Designs and simulates electronic circuits using Qucs-S software as a specialized electronic engineer on contract.
Maintains and improves cloud infrastructure using IaC practices, supports CI/CD pipelines, and operates container orchestration systems like EKS/K8S.
Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.
But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.
At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.
Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now!
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
Location & Travel Expectations
We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring:
The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:
This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent.
Initial base salary range =Â $120,000.00 - $145,000.00
Initial California base salary range = $132,000 - $159,500
Internal leveling code: IC9
Notice to applicants:
Equal Opportunity
Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.
Build ML infrastructure and serving systems for Quora's platform, working on distributed systems and GPU performance at scale alongside senior engineers.
[ Quora is a privately held, “remote-first” company . This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]
Quora’s mission is to grow the world’s collective intelligence. To do so, we have two platforms:
Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including Claude-Opus-4.7, Nano-Banana-2, GPT-Image-2, GPT-5.5, GPT-5.5-Pro, and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Quora product.
Machine Learning is central to Quora’s mission of growing the world’s collective intelligence. We have 100+ Machine Learning models in production powering various product features. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month.
Our team owns Quora’s ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency. We want to empower all ML engineers at Quora to be as impactful as they can be in solving different ML problems at scale.
As a Software Engineer (New Grad) on this team, you’ll work at the intersection of Machine Learning, Distributed Systems, and GPU Serving performance — and your work will have an enormous impact on Quora’s long-term success.
No previous ML infrastructure experience is required for this role. You’ll be joining a team of senior and staff engineers, learning this stack from the people who built it, with a dedicated mentor and strong technical guidance — and you’ll be shipping to production in your first few weeks.
Stack: Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, AWS
🚀 Excited to see our MLP team’s amazing work in action? Check out some of the incredible projects they’ve completed below! 👇✨
- https://aws.amazon.com/blogs/containers/quora-3x-faster-machine-learning-25-lower-costs-with-nvidia-triton-on-amazon-eks/
- https://quoraengineering.quora.com/Building-a-Service-Mesh-in-a-Hybrid-Environment
- https://quoraengineering.quora.com/Building-Embedding-Search-at-Quora
- https://quoraengineering.quora.com/Feature-Engineering-at-Quora-with-Alchemy
Help build and maintain the core infrastructure that powers Quora’s ML platform, ensuring high availability, scalability, and performance
Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM)
Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models
Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization
Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently
Modernize our feature store so ML engineers can get new features into production faster
Participate in the team’s on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform
Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
Genuine interest in large-scale distributed systems, infrastructure, and machine learning
Knowledge of Python, Go or C++, or the ability to learn them quickly
A passion for learning and always improving yourself and the team around you
Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
Coursework or hands-on experience with ML frameworks such as PyTorch or TensorFlow
Exposure to Kubernetes, Docker, or cloud technologies like AWS
Experience with low-level performance work of any kind: profiling, benchmarking, optimization
Passion for Quora’s mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $125,320 - $142,783 CAD + equity + benefits. For all other locations in Canada, the salary range is $116,965 - $133,264 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
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#LI-REMOTE
Develops ML platform infrastructure, serving systems, and GPU performance optimization to support 100+ production ML models at scale.
[ Quora is a privately held, “remote-first” company . This position can be performed remotely from anywhere in Canada or the United States. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]
Quora’s mission is to grow the world’s collective intelligence. To do so, we have two platforms:
Quora: a global knowledge sharing platform with over 300M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including Claude-Opus-4.7, Nano-Banana-2, GPT-Image-2, GPT-5.5, GPT-5.5-Pro, and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Quora product.
Machine Learning is central to Quora’s mission of growing the world’s collective intelligence. We have 100+ Machine Learning models in production powering various product features. We use a variety of algorithms — everything from linear models to decision trees and deep neural networks. Our production models operate at a huge scale, serving hundreds of millions of people using Quora every month.
Our team owns Quora’s ML platform and ranking infrastructure across four areas: serving reliability, ML engineer enablement and developer velocity, business impact, and cost efficiency. We want to empower all ML engineers at Quora to be as impactful as they can be in solving different ML problems at scale.
As a Software Engineer (New Grad) on this team, you’ll work at the intersection of Machine Learning, Distributed Systems, and GPU Serving performance — and your work will have an enormous impact on Quora’s long-term success.
No previous ML infrastructure experience is required for this role. You’ll be joining a team of senior and staff engineers, learning this stack from the people who built it, with a dedicated mentor and strong technical guidance — and you’ll be shipping to production in your first few weeks.
Stack: Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, AWS
🚀 Excited to see our MLP team’s amazing work in action? Check out some of the incredible projects they’ve completed below! 👇✨
- https://aws.amazon.com/blogs/containers/quora-3x-faster-machine-learning-25-lower-costs-with-nvidia-triton-on-amazon-eks/
- https://quoraengineering.quora.com/Building-a-Service-Mesh-in-a-Hybrid-Environment
- https://quoraengineering.quora.com/Building-Embedding-Search-at-Quora
- https://quoraengineering.quora.com/Feature-Engineering-at-Quora-with-Alchemy
Help build and maintain the core infrastructure that powers Quora’s ML platform, ensuring high availability, scalability, and performance
Build and improve the distributed systems that serve our ML models in production, from Large Recommendation Models (LRM) to Large Language Models (LLM)
Work on GPU model serving, optimizing latency, throughput, and cost to support larger and more capable models
Contribute to platform initiatives such as PyTorch-first standardization and ML ecosystem modernization
Improve ML developer velocity by building tooling that helps ML engineers develop, test, and deploy models more efficiently
Modernize our feature store so ML engineers can get new features into production faster
Participate in the team’s on-call rotation, helping resolve production issues as you grow your knowledge and ownership of the platform
Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
A 2025 or 2026 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
Genuine interest in large-scale distributed systems, infrastructure, and machine learning
Knowledge of Python, Go or C++, or the ability to learn them quickly
A passion for learning and always improving yourself and the team around you
Previous software engineering experience via an internship, work experience, open-source contribution or coding competition
Coursework or hands-on experience with ML frameworks such as PyTorch or TensorFlow
Exposure to Kubernetes, Docker, or cloud technologies like AWS
Experience with low-level performance work of any kind: profiling, benchmarking, optimization
Passion for Quora’s mission and goals
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $97,600 - $139,000 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $125,320 - $142,783 CAD + equity + benefits. For all other locations in Canada, the salary range is $116,965 - $133,264 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
#LI-SS2
#LI-REMOTE