Kaiser Permanente is seeking an MSW to help build and enhance the Systeme.io all-in-one marketing platform. In this role, you will design, develop, and maintain scalable, secure software powering entrepreneurs worldwide. You'll collaborate closely with product, design, and QA in an agile environment, translating business needs into robust technical solutions. You will write clean, testable code, integrate APIs, and optimize system performance. Joining our innovative, supportive culture, you'll contribute to state-of-the-art, user-friendly tools while growing your skills and impact. Responsibilities Design, develop, and maintain scalable software solutions within the Systeme.io platform Collaborate with product managers and designers to translate requirements into technical specifications Implement clean, efficient, and well-documented code following best practices Participate in code reviews, testing, and debugging to ensure high software quality Integrate APIs and third-party services to extend product functionality Optimize performance, reliability, and security of existing systems Contribute to agile ceremonies and sprint planning with a cross-functional team Document technical decisions, architectures, and workflows for team knowledge sharing Monitor production systems and resolve issues in a timely manner Continuously research and adopt new tools, frameworks, and methodologies Required Skills Object-oriented programming (e.g., Java, C#, or similar) Java Script/Type Script and a modern front-end framework (e.g., React, Vue, or Angular) RESTful API design and integration SQL and relational databases (e.g., PostgreSQL, My SQL) Version control with Git Unit and integration testing frameworks CI/CD tools and pipelines Cloud platforms (AWS, Azure, or GCP) Agile/Scrum development methodologies Application performance monitoring and debugging tools
09/25/2026
Full time
Kaiser Permanente is seeking an MSW to help build and enhance the Systeme.io all-in-one marketing platform. In this role, you will design, develop, and maintain scalable, secure software powering entrepreneurs worldwide. You'll collaborate closely with product, design, and QA in an agile environment, translating business needs into robust technical solutions. You will write clean, testable code, integrate APIs, and optimize system performance. Joining our innovative, supportive culture, you'll contribute to state-of-the-art, user-friendly tools while growing your skills and impact. Responsibilities Design, develop, and maintain scalable software solutions within the Systeme.io platform Collaborate with product managers and designers to translate requirements into technical specifications Implement clean, efficient, and well-documented code following best practices Participate in code reviews, testing, and debugging to ensure high software quality Integrate APIs and third-party services to extend product functionality Optimize performance, reliability, and security of existing systems Contribute to agile ceremonies and sprint planning with a cross-functional team Document technical decisions, architectures, and workflows for team knowledge sharing Monitor production systems and resolve issues in a timely manner Continuously research and adopt new tools, frameworks, and methodologies Required Skills Object-oriented programming (e.g., Java, C#, or similar) Java Script/Type Script and a modern front-end framework (e.g., React, Vue, or Angular) RESTful API design and integration SQL and relational databases (e.g., PostgreSQL, My SQL) Version control with Git Unit and integration testing frameworks CI/CD tools and pipelines Cloud platforms (AWS, Azure, or GCP) Agile/Scrum development methodologies Application performance monitoring and debugging tools
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Vaco is partnering with a national wealth management organization to hire a Cloud Platform Engineer focused on building and evolving secure, scalable Azure infrastructure that supports engineering teams and mission-critical business systems. This role is ideal for someone with a strong automation and infrastructure mindset who enjoys enabling developers through self-service tooling, Infrastructure as Code, and modern cloud platform practices. The environment is highly collaborative and focused on improving reliability, scalability, and operational maturity across a growing cloud ecosystem. What You'll Be Doing Design and deploy secure, scalable Azure infrastructure supporting applications, integrations, and data workloads Build and maintain core platform services that improve developer productivity and platform reliability Implement Infrastructure as Code using Bicep, Terraform, and ARM templates Develop automation workflows and operational tooling using PowerShell, Bash, and cloud-native automation practices Create self-service templates and deployment tooling to reduce friction for engineering teams Partner with engineering teams to implement Azure governance, security controls, and best practices Support cloud networking architecture including VNETs, routing, firewalls, private endpoints, and hybrid connectivity Monitor and optimize cloud infrastructure for performance, cost efficiency, and operational reliability Contribute to incident response, design reviews, and platform roadmap planning Support observability and monitoring initiatives using Azure Monitor, Log Analytics, and KQL Assist with modernization efforts across distributed and hybrid cloud environments Required Experience 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure-focused roles Strong hands-on experience with Microsoft Azure infrastructure and platform services Experience implementing Infrastructure as Code using Terraform, Bicep, ARM, or similar tooling Strong understanding of Azure governance and identity concepts including RBAC, PIM, Azure Policy, and Entra ID Experience supporting cloud networking components such as VNETs, NSGs, load balancers, Application Gateway, and hybrid connectivity Experience with CI/CD pipelines and Git-based workflows using Azure DevOps or GitHub Actions Strong scripting and automation experience with PowerShell or Bash Experience supporting distributed or cloud-native applications in Azure or hybrid environments Strong communication skills and ability to collaborate across engineering teams Nice to Have Experience with Azure data services Exposure to C#/.NET or legacy Microsoft application stacks Azure certifications such as AZ-104, AZ-700, or AZ-305 Compensation & Benefits Competitive salary based on experience Performance-based bonus eligibility Comprehensive medical, dental, and vision coverage 401(k) with employer contribution Additional insurance offerings and employee benefits Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
Vaco is partnering with a national wealth management organization to hire a Cloud Platform Engineer focused on building and evolving secure, scalable Azure infrastructure that supports engineering teams and mission-critical business systems. This role is ideal for someone with a strong automation and infrastructure mindset who enjoys enabling developers through self-service tooling, Infrastructure as Code, and modern cloud platform practices. The environment is highly collaborative and focused on improving reliability, scalability, and operational maturity across a growing cloud ecosystem. What You'll Be Doing Design and deploy secure, scalable Azure infrastructure supporting applications, integrations, and data workloads Build and maintain core platform services that improve developer productivity and platform reliability Implement Infrastructure as Code using Bicep, Terraform, and ARM templates Develop automation workflows and operational tooling using PowerShell, Bash, and cloud-native automation practices Create self-service templates and deployment tooling to reduce friction for engineering teams Partner with engineering teams to implement Azure governance, security controls, and best practices Support cloud networking architecture including VNETs, routing, firewalls, private endpoints, and hybrid connectivity Monitor and optimize cloud infrastructure for performance, cost efficiency, and operational reliability Contribute to incident response, design reviews, and platform roadmap planning Support observability and monitoring initiatives using Azure Monitor, Log Analytics, and KQL Assist with modernization efforts across distributed and hybrid cloud environments Required Experience 4+ years of experience in cloud engineering, platform engineering, DevOps, or infrastructure-focused roles Strong hands-on experience with Microsoft Azure infrastructure and platform services Experience implementing Infrastructure as Code using Terraform, Bicep, ARM, or similar tooling Strong understanding of Azure governance and identity concepts including RBAC, PIM, Azure Policy, and Entra ID Experience supporting cloud networking components such as VNETs, NSGs, load balancers, Application Gateway, and hybrid connectivity Experience with CI/CD pipelines and Git-based workflows using Azure DevOps or GitHub Actions Strong scripting and automation experience with PowerShell or Bash Experience supporting distributed or cloud-native applications in Azure or hybrid environments Strong communication skills and ability to collaborate across engineering teams Nice to Have Experience with Azure data services Exposure to C#/.NET or legacy Microsoft application stacks Azure certifications such as AZ-104, AZ-700, or AZ-305 Compensation & Benefits Competitive salary based on experience Performance-based bonus eligibility Comprehensive medical, dental, and vision coverage 401(k) with employer contribution Additional insurance offerings and employee benefits Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
09/25/2026
Full time
Senior / Lead .NET Software Engineer / SRE DETAILS Location: Arlington, TX 76014 (hybrid onsite 2-days per week) Openings: 2 (1 Senior .NET / 1 Lead .NET) Position Type: 6M C2H Hourly / Salary: to $160K+ (based on experience level) JOB SUMMARY Vaco is currently seeking a Senior .NET Software Engineer / SRE for a 6M C2H opportunity that is located in Arlington, TX 76014 (hybrid onsite 2-days per week). About the Project: This is an ongoing multi-year digital transformation initiative (now roughly 2+ years in) focused on modernizing financial services platforms, making them more scalable, reliable, automated, and cloud-native. The .NET Engineer / SRE will be building and extending tools / frameworks for SRE practices, including automation scripts, custom monitoring, CI/CD enhancements, reliability tooling, etc. The .NET Engineer / SRE will help bridge the gap between development teams (writing .NET) and SREs (ensuring reliability at scale), especially within this strategic / tool building-focused SRE practice. This is not a traditional .NET Developer (no owning user-facing APIs or business logic for financial services), but rather applying .NET skills to SRE tasks, including building custom tools for automation, reliability, and release engineering, creating GITHub Copilot context files to embed SRE practices (security / performance checks) early in development cycles, debugging / refactoring code in production environments, performing root-cause analysis, and iterating post-deployment. Additionally, there's no traditional on-call production monitoring / support, whereas the focus will be on design, architecture, automation, and enabling scalable DevOps / SRE practices for development teams, rather than day-to-day firefighting. Ideal Senior Candidate:The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Senior Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). Ideal LEAD Candidate (leading teams of 5+): The ideal candidate will come with a Developer-First Mindset for full SDLC, Architecture Ownership, and Problem Solving (build the tool if it does not exist approach). Having .NET fluency enables strategic SRE in their .NET / Azure ecosystem, bridging gaps between development and operations without siloed roles. The Lead Engineer MUST be able to walk through their most recent projects, in depth, describing complex features, debugging, and development frameworks (why you'd choose one over the other for particular tasks, etc.). JOB REQUIREMETS .NET Core Development (hands-on core expertise) - C# / .NET Core Development Building / Maintaining Production-Grade Applications / APIs / Services Cloud Modernization - Migrating Legacy .NET Applications to Cloud-Native Azure Architectures Azure-Native Application Development - Designing / Deploying / Supporting .NET Applications Directly in Azure with Real Production Workloads (Beyond Portal-Based "Click-Ops") AKS / Containerization - Containerizing .NET Applications (Docker Multi-Stage Builds) Deploying / Managing within AKS (Deployments / Services / ConfigMaps / Secrets / Helm / Node Pools / Autoscaling / Ingress / Cluster-Level Troubleshooting) CI/CD / Azure DevOps - Building / Maintaining YAML-Based CI/CD Pipelines (Automated Builds / Testing / Security Scans / Docker Image Creation / Deployments to AKS / App Services) Azure Platform Services Integration - Integrating Core Azure Services into .NET Applications (App Services / Azure Functions / Service Bus / Event Grid / Azure Monitor / Application Insights With Custom Telemetry / Distributed Tracing / Metrics) IaC / Terraform - Developing / Managing Terraform-Based Infrastructure (AKS / VNETs / Private Endpoints / Service Bus / SQL Database / Storage) Aligned with Application Development Identity / Security (Azure) - Implementing Secure Patterns (Managed Identities / Entra ID / RBAC / Secure Connectivity / Polly Retry Policies / Private Endpoints / VNET Integration) within .NET Services Observability / SRE Practices - Applying SRE Principles within Development (Application Insights / Log Analytics / Alerting / Performance Monitoring / Production Troubleshooting) Database Design / Optimization - Oracle / MS SQL Server / NoSQL (CosmosDB) SQL Scripting (hands-on) Designing / Evolving Database Schemas Performing Query Performance Analysis Indexing to Deliver Scalable / Performant Services Problem Solving / Collaboration - Driving Root Cause Analysis / Debugging for .NET Applications in Azure Collaborating within SRE / Cross-Functional Teams PREFERRED (not required) Azure Governance / Best Practices - Azure Policy / GitHub Copilot Context / Embedding SRE Practices Early in Development Lifecycle Architecture Frameworks (Familiarity) - Azure Well-Architected Framework (Reliability / Operational Excellence) Advanced AKS / Hybrid - Exposure to Advanced AKS Topics (Cluster Autoscaling / Service Mesh / Cost Optimization) / Hybrid Scenarios (Azure Arc) AI / Automation Enablement - Driving Adoption of AI-Powered Tools (GitHub Copilot) to Improve Developer Productivity / Code Quality By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/25/2026
Full time
As a Principal Member of Technical Staff, you will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage experiance able to dive deep into any part of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. This role resides within the Compute AI Infrastructure Bare Metal Provisioning team, which owns the critical infrastructure responsible for automating the full server lifecycle from new platform shape (AMD/Intel/Arm/Nvidia) creation, hardware bring-up to customer-ready instance provisioning and firmware management. The services operate at the intersection of bare metal hardware and full-stack orchestration frameworks, a unique combination where both distributed systems engineers and engineers with background in Linux and firmware are highly valued. The team interfaces directly with components like BMCs, NICs, SmartNICs, ILOMs, GPUs, and custom firmware stacks. The team builds high performance, scalable micro-services and tooling that provision, configure, secure, and validate server platforms across OCI's massive fleet of Compute and GPU Infrastructure. You will partner closely across other teams in Compute, Networking, Security, Data center Engineering, and Hardware Development to ensure OCI can launch, scale, and maintain new server platforms with minimal operational overhead and high reliability. You will work directly with cutting edge GPU hardware and see the direct impact of your work on the business. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you'll belong and be encouraged. If you are interested in building large-scale distributed infrastructure for the cloud, want to work on cutting edge GPU infrastructure and the latest Compute systems, have a knack for distributed systems and/or Linux development with Systems experiance then this is your team! Oracle is aggressively investing in the Oracle Cloud to provide the broadest, most comprehensive cloud in the industry. Responsibilities Job Responsibilities: You will own the software design and development for major components of Oracle's Cloud Infrastructure. You should be both a rock solid developer, driven problem solver and a distributed systems generalist and/or Linux developer with Systems experiance able to dive deep, design, develop, operate, and debug any part of the stack and low level systems such as Linux, Docker, Java web services and Terraform, as well as design broad distributed system interactions. You should have a tenacious attitude to improve the status quo, independently seek out problems to solve and take action to deliver results wherever needed. You should value simplicity and scale, work comfortably in a collaborative, agile environment, and be excited to learn. Qualifications: 6-10+ years experience delivering and operating large scale, highly available distributed systems, Linux development and Systems debugging. Strong knowledge of Object Oriented programming such as C++ or Java, and experience with scripting languages such as Python. Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals. Experience with tools such as Terraform for Infrastructure as Code. Working familiarity with networking protocols (TCP/IP, HTTP) and standard network architectures. Strong understanding of databases, NoSQL systems, storage and distributed persistence technologies. Strong troubleshooting and performance tuning skills. Experience building multi-tenant, virtualized infrastructure a strong plus. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Description Concept Solutions is seeking a Full Stack Developer to join a dedicated team of Information Technology (IT) professionals supporting the Federal Aviation Administration's (FAA) Command, Control, and Communications (C3) office. The C3 office carries a critical strategic mandate: ensuring FAA managers maintain daily situational awareness and uninterrupted continuity of communications during severe national emergencies, natural disasters, or critical equipment malfunctions. Should disruptions occur, the C3 office is chartered with executing rapid disaster recovery and restoring essential communication services expeditiously. This position is remote within 2 hours drive of Washington DC. The Mid-Level Full Stack Developer focuses on building, maintaining, and modernizing critical enterprise web applications, bridging legacy on-premises systems with the Amazon Web Services (AWS) cloud. The primary objective of this role is to participate in a team effort to refactor and migrate legacy web applications and workflows from Microsoft SharePoint Subscriber Edition (On-Premises) to modern, open-source technology stacks hosted on AWS (including AWS GovCloud and AWS Outposts environments). This effort will include the use of Artificial Intelligence (AI) to refactor legacy code. Working as a member of the DevSecOps team, this role ensures all front-end and back-end code is highly performant, accessible, and robustly secure, supporting highly available mission-essential functions under a FISMA Moderate framework. This position is vital to modernizing legacy application interfaces into secure cloud architectures, remediating findings from automated security pipelines, and establishing resilient, error-tolerant workflows for continuity of operations. Requirements Bachelor's degree in a technical discipline (Computer Science, Electrical Engineering, Information Technology, or a related field). 5 Years of Experience in Full-Stack Web Application Development, with a proven track record of refactoring monolithic/legacy platforms and migrating workloads to AWS. Expertise in the following prioritized areas is required: 1. Front-End Frameworks & UI Modernization: • Three or more years of practical experience building and maintaining complex, responsive, and accessible web interfaces. • Proven experience refactoring and modernizing legacy SharePoint pages, customized Master Pages, InfoPath forms, and web parts into clean, open-source UI frameworks. • Deep understanding of modern styling and layouts (HTML5, CSS3, modern JavaScript/TypeScript) to provide superior user experiences independent of SharePoint structures. 2. Back-End Development & API Refactoring: • Strong proficiency in server-side open-source development (such as .NET Core, C#, Node.js, or Python) and designing secure, modular RESTful APIs. • Proven experience replacing proprietary SharePoint server-side Object Models (SSOM) and Client-Side Object Models (CSOM) with standard open-source API architectures. • Experience decomposing monolithic logic into microservices or serverless applications to optimize for scalability and maintainability. 3. SharePoint Decoupling, Content Migration & Databases: • Practical experience in legacy discovery and analysis, including assessing existing SharePoint site hierarchies, document libraries, lists, and complex item-level permissions. • Proven capabilities migrating custom SharePoint list data into relational database models (such as Microsoft SQL Server, PostgreSQL, or Amazon RDS) and optimizing queries. • Experience refactoring legacy SharePoint workflows (SharePoint Designer, Power Automate, or K2) into modern cloud-native workflow engines like AWS Step Functions or serverless event-driven architectures. 4. AWS Cloud Hosting & CI/CD Pipelines: • Familiarity with refactoring and optimizing legacy applications for native deployment in cloud environments, specifically AWS GovCloud and AWS Outposts architectures. • General understanding of working with CI/CD automated deployment pipelines (such as Azure DevOps, GitLab CI, or GitHub Actions) to run automated SAST/DAST security scans and deploy code. • Participate on the DevSecOps team to build out code layers with the redundancy, error-handling, and failover capabilities necessary to support continuity of operations (COOP). 5. Security, Compliance & Federated Identity: • Strong proficiency implementing strict secure coding principles (OWASP Top 10) to satisfy NIST SP 800-53 security controls within a FISMA Moderate framework and remediating findings from pipeline scans. • Experience aligning custom SharePoint permissions and AD security groups with AWS IAM, AWS IAM Identity Center (formerly SSO), and modern federated identity protocols (OAuth2, OIDC, SAML). Preferred Professional Certifications: • AWS Certified Developer (Associate) or AWS Certified Solutions Architect (Associate) • CompTIA Security+ (required within 6 months of hire to satisfy IAM-II compliance) • Professional Certifications in Front-End Methodologies (React, Angular, Vue) Location and Schedule Location : Washington, DC Schedule : 40 hours per week, Monday through Friday, with core working hours from 9:00 a.m. to 3:00 p.m. local time. Security Requirement: Public Trust Travel: 0-10% Salary: $ 110K to $114K Company Profile: Founded in 1999 and headquartered in Reston, Virginia, Concept Solutions, LLC (CS) is a leading small business in technology, engineering, and management consulting. We are the innovative and agile force behind strategic solutions that enhance organizational efficiency and safeguard our nation across Aerospace, Defense, and National Security sectors. For over 25 years, CS has been a trusted partner for the Federal Aviation Administration (FAA), Department of Homeland Security (DHS), Department of Justice (DOJ), Department of Defense (DoD) and other federal agencies delivering vital IT, security, and project management services. Our commitment to excellence is reflected in our adherence to CMMI-DEV ML3, ISO 9001:2015, ISO/IEC 20000-1:2018, and ISO/IEC 27001-1:2013 standards. CS boasts company highlights that include: Over two decades of experience across over $300 million in contract awards supporting critical FAA programs Multiple contract vehicles providing opportunities across FAA, DoD, NOAA, and other Federal agencies Innovation Council - CS maintains an active Internal Research and Development (IR&D) program that is geared towards identifying emerging technologies and pursuing technological innovations At CS, we know our success stems from our talented team. That's why we prioritize the wellbeing and growth of our employees, fostering a positive culture centered on innovation, engagement, and career development. Benefits: Concept Solutions offers a competitive benefits and salary package you would receive from a large company. We offer health, dental, vision and life insurance, as well as a comprehensive 401(k) plan with matching and immediate vesting. Concept Solutions is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Concept Solutions is a VEVRAA federal contractor, and we request priority referral of veterans for available positions.
09/25/2026
Full time
Description Concept Solutions is seeking a Full Stack Developer to join a dedicated team of Information Technology (IT) professionals supporting the Federal Aviation Administration's (FAA) Command, Control, and Communications (C3) office. The C3 office carries a critical strategic mandate: ensuring FAA managers maintain daily situational awareness and uninterrupted continuity of communications during severe national emergencies, natural disasters, or critical equipment malfunctions. Should disruptions occur, the C3 office is chartered with executing rapid disaster recovery and restoring essential communication services expeditiously. This position is remote within 2 hours drive of Washington DC. The Mid-Level Full Stack Developer focuses on building, maintaining, and modernizing critical enterprise web applications, bridging legacy on-premises systems with the Amazon Web Services (AWS) cloud. The primary objective of this role is to participate in a team effort to refactor and migrate legacy web applications and workflows from Microsoft SharePoint Subscriber Edition (On-Premises) to modern, open-source technology stacks hosted on AWS (including AWS GovCloud and AWS Outposts environments). This effort will include the use of Artificial Intelligence (AI) to refactor legacy code. Working as a member of the DevSecOps team, this role ensures all front-end and back-end code is highly performant, accessible, and robustly secure, supporting highly available mission-essential functions under a FISMA Moderate framework. This position is vital to modernizing legacy application interfaces into secure cloud architectures, remediating findings from automated security pipelines, and establishing resilient, error-tolerant workflows for continuity of operations. Requirements Bachelor's degree in a technical discipline (Computer Science, Electrical Engineering, Information Technology, or a related field). 5 Years of Experience in Full-Stack Web Application Development, with a proven track record of refactoring monolithic/legacy platforms and migrating workloads to AWS. Expertise in the following prioritized areas is required: 1. Front-End Frameworks & UI Modernization: • Three or more years of practical experience building and maintaining complex, responsive, and accessible web interfaces. • Proven experience refactoring and modernizing legacy SharePoint pages, customized Master Pages, InfoPath forms, and web parts into clean, open-source UI frameworks. • Deep understanding of modern styling and layouts (HTML5, CSS3, modern JavaScript/TypeScript) to provide superior user experiences independent of SharePoint structures. 2. Back-End Development & API Refactoring: • Strong proficiency in server-side open-source development (such as .NET Core, C#, Node.js, or Python) and designing secure, modular RESTful APIs. • Proven experience replacing proprietary SharePoint server-side Object Models (SSOM) and Client-Side Object Models (CSOM) with standard open-source API architectures. • Experience decomposing monolithic logic into microservices or serverless applications to optimize for scalability and maintainability. 3. SharePoint Decoupling, Content Migration & Databases: • Practical experience in legacy discovery and analysis, including assessing existing SharePoint site hierarchies, document libraries, lists, and complex item-level permissions. • Proven capabilities migrating custom SharePoint list data into relational database models (such as Microsoft SQL Server, PostgreSQL, or Amazon RDS) and optimizing queries. • Experience refactoring legacy SharePoint workflows (SharePoint Designer, Power Automate, or K2) into modern cloud-native workflow engines like AWS Step Functions or serverless event-driven architectures. 4. AWS Cloud Hosting & CI/CD Pipelines: • Familiarity with refactoring and optimizing legacy applications for native deployment in cloud environments, specifically AWS GovCloud and AWS Outposts architectures. • General understanding of working with CI/CD automated deployment pipelines (such as Azure DevOps, GitLab CI, or GitHub Actions) to run automated SAST/DAST security scans and deploy code. • Participate on the DevSecOps team to build out code layers with the redundancy, error-handling, and failover capabilities necessary to support continuity of operations (COOP). 5. Security, Compliance & Federated Identity: • Strong proficiency implementing strict secure coding principles (OWASP Top 10) to satisfy NIST SP 800-53 security controls within a FISMA Moderate framework and remediating findings from pipeline scans. • Experience aligning custom SharePoint permissions and AD security groups with AWS IAM, AWS IAM Identity Center (formerly SSO), and modern federated identity protocols (OAuth2, OIDC, SAML). Preferred Professional Certifications: • AWS Certified Developer (Associate) or AWS Certified Solutions Architect (Associate) • CompTIA Security+ (required within 6 months of hire to satisfy IAM-II compliance) • Professional Certifications in Front-End Methodologies (React, Angular, Vue) Location and Schedule Location : Washington, DC Schedule : 40 hours per week, Monday through Friday, with core working hours from 9:00 a.m. to 3:00 p.m. local time. Security Requirement: Public Trust Travel: 0-10% Salary: $ 110K to $114K Company Profile: Founded in 1999 and headquartered in Reston, Virginia, Concept Solutions, LLC (CS) is a leading small business in technology, engineering, and management consulting. We are the innovative and agile force behind strategic solutions that enhance organizational efficiency and safeguard our nation across Aerospace, Defense, and National Security sectors. For over 25 years, CS has been a trusted partner for the Federal Aviation Administration (FAA), Department of Homeland Security (DHS), Department of Justice (DOJ), Department of Defense (DoD) and other federal agencies delivering vital IT, security, and project management services. Our commitment to excellence is reflected in our adherence to CMMI-DEV ML3, ISO 9001:2015, ISO/IEC 20000-1:2018, and ISO/IEC 27001-1:2013 standards. CS boasts company highlights that include: Over two decades of experience across over $300 million in contract awards supporting critical FAA programs Multiple contract vehicles providing opportunities across FAA, DoD, NOAA, and other Federal agencies Innovation Council - CS maintains an active Internal Research and Development (IR&D) program that is geared towards identifying emerging technologies and pursuing technological innovations At CS, we know our success stems from our talented team. That's why we prioritize the wellbeing and growth of our employees, fostering a positive culture centered on innovation, engagement, and career development. Benefits: Concept Solutions offers a competitive benefits and salary package you would receive from a large company. We offer health, dental, vision and life insurance, as well as a comprehensive 401(k) plan with matching and immediate vesting. Concept Solutions is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Concept Solutions is a VEVRAA federal contractor, and we request priority referral of veterans for available positions.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations St. Louis, MO About the Job You're Considering Capgemini is seeking an experienced Sr. Stibo STEP Developer to support enterprise Product Master Data implementations using Stibo STEP. The role focuses on designing, configuring, developing, and deploying scalable MDM solutions supporting product onboarding, maintenance, retirement, governance, integrations, and data quality. Your Role: The Sr. Stibo STEP Developer will design and implement Stibo STEP configurations and customizations, collaborate with architects and business stakeholders, and ensure solutions meet performance, scalability, and governance requirements. Key Responsibilities Design and configure STEP data models, attributes, classifications, hierarchies, references, and LOVs. Develop workflows for product creation, maintenance, approval, and retirement. Configure business rules, validations, notifications, and data quality controls. Build integrations using STEP APIs, REST services, XML, STEPXML, and Boomi. Support data migration, mapping, transformation, reconciliation, and data loads. Configure roles, security, and access controls. Participate in testing, deployment, and production support. Mentor junior developers and conduct code reviews. Technical Skills 7+ years of MDM experience with 5+ years of hands-on Stibo STEP development. Expertise in STEP data modeling, workflows, business rules, security, and governance. Experience with JavaScript development within STEP. Experience with REST APIs, XML, STEPXML, and enterprise integration patterns. Knowledge of Boomi, JDE, SAP, Specright, Snowflake, and related platforms preferred. Experience with product master data governance and data quality management. Agile delivery experience and strong communication skills. Education Requirements : Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Relevant Stibo STEP certifications are preferred. The base compensation range for this role in the posted location is: $76,000 TO 187,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/25/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations St. Louis, MO About the Job You're Considering Capgemini is seeking an experienced Sr. Stibo STEP Developer to support enterprise Product Master Data implementations using Stibo STEP. The role focuses on designing, configuring, developing, and deploying scalable MDM solutions supporting product onboarding, maintenance, retirement, governance, integrations, and data quality. Your Role: The Sr. Stibo STEP Developer will design and implement Stibo STEP configurations and customizations, collaborate with architects and business stakeholders, and ensure solutions meet performance, scalability, and governance requirements. Key Responsibilities Design and configure STEP data models, attributes, classifications, hierarchies, references, and LOVs. Develop workflows for product creation, maintenance, approval, and retirement. Configure business rules, validations, notifications, and data quality controls. Build integrations using STEP APIs, REST services, XML, STEPXML, and Boomi. Support data migration, mapping, transformation, reconciliation, and data loads. Configure roles, security, and access controls. Participate in testing, deployment, and production support. Mentor junior developers and conduct code reviews. Technical Skills 7+ years of MDM experience with 5+ years of hands-on Stibo STEP development. Expertise in STEP data modeling, workflows, business rules, security, and governance. Experience with JavaScript development within STEP. Experience with REST APIs, XML, STEPXML, and enterprise integration patterns. Knowledge of Boomi, JDE, SAP, Specright, Snowflake, and related platforms preferred. Experience with product master data governance and data quality management. Agile delivery experience and strong communication skills. Education Requirements : Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Relevant Stibo STEP certifications are preferred. The base compensation range for this role in the posted location is: $76,000 TO 187,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Description Concept Solutions is seeking a Full Stack Developer to join a dedicated team of Information Technology (IT) professionals supporting the Federal Aviation Administration's (FAA) Command, Control, and Communications (C3) office. The C3 office carries a critical strategic mandate: ensuring FAA managers maintain daily situational awareness and uninterrupted continuity of communications during severe national emergencies, natural disasters, or critical equipment malfunctions. Should disruptions occur, the C3 office is chartered with executing rapid disaster recovery and restoring essential communication services expeditiously. This position is remote within 2 hours drive of Washington DC. The Mid-Level Full Stack Developer focuses on building, maintaining, and modernizing critical enterprise web applications, bridging legacy on-premises systems with the Amazon Web Services (AWS) cloud. The primary objective of this role is to participate in a team effort to refactor and migrate legacy web applications and workflows from Microsoft SharePoint Subscriber Edition (On-Premises) to modern, open-source technology stacks hosted on AWS (including AWS GovCloud and AWS Outposts environments). This effort will include the use of Artificial Intelligence (AI) to refactor legacy code. Working as a member of the DevSecOps team, this role ensures all front-end and back-end code is highly performant, accessible, and robustly secure, supporting highly available mission-essential functions under a FISMA Moderate framework. This position is vital to modernizing legacy application interfaces into secure cloud architectures, remediating findings from automated security pipelines, and establishing resilient, error-tolerant workflows for continuity of operations. Requirements Bachelor's degree in a technical discipline (Computer Science, Electrical Engineering, Information Technology, or a related field). 5 Years of Experience in Full-Stack Web Application Development, with a proven track record of refactoring monolithic/legacy platforms and migrating workloads to AWS. Expertise in the following prioritized areas is required: 1. Front-End Frameworks & UI Modernization: • Three or more years of practical experience building and maintaining complex, responsive, and accessible web interfaces. • Proven experience refactoring and modernizing legacy SharePoint pages, customized Master Pages, InfoPath forms, and web parts into clean, open-source UI frameworks. • Deep understanding of modern styling and layouts (HTML5, CSS3, modern JavaScript/TypeScript) to provide superior user experiences independent of SharePoint structures. 2. Back-End Development & API Refactoring: • Strong proficiency in server-side open-source development (such as .NET Core, C#, Node.js, or Python) and designing secure, modular RESTful APIs. • Proven experience replacing proprietary SharePoint server-side Object Models (SSOM) and Client-Side Object Models (CSOM) with standard open-source API architectures. • Experience decomposing monolithic logic into microservices or serverless applications to optimize for scalability and maintainability. 3. SharePoint Decoupling, Content Migration & Databases: • Practical experience in legacy discovery and analysis, including assessing existing SharePoint site hierarchies, document libraries, lists, and complex item-level permissions. • Proven capabilities migrating custom SharePoint list data into relational database models (such as Microsoft SQL Server, PostgreSQL, or Amazon RDS) and optimizing queries. • Experience refactoring legacy SharePoint workflows (SharePoint Designer, Power Automate, or K2) into modern cloud-native workflow engines like AWS Step Functions or serverless event-driven architectures. 4. AWS Cloud Hosting & CI/CD Pipelines: • Familiarity with refactoring and optimizing legacy applications for native deployment in cloud environments, specifically AWS GovCloud and AWS Outposts architectures. • General understanding of working with CI/CD automated deployment pipelines (such as Azure DevOps, GitLab CI, or GitHub Actions) to run automated SAST/DAST security scans and deploy code. • Participate on the DevSecOps team to build out code layers with the redundancy, error-handling, and failover capabilities necessary to support continuity of operations (COOP). 5. Security, Compliance & Federated Identity: • Strong proficiency implementing strict secure coding principles (OWASP Top 10) to satisfy NIST SP 800-53 security controls within a FISMA Moderate framework and remediating findings from pipeline scans. • Experience aligning custom SharePoint permissions and AD security groups with AWS IAM, AWS IAM Identity Center (formerly SSO), and modern federated identity protocols (OAuth2, OIDC, SAML). Preferred Professional Certifications: • AWS Certified Developer (Associate) or AWS Certified Solutions Architect (Associate) • CompTIA Security+ (required within 6 months of hire to satisfy IAM-II compliance) • Professional Certifications in Front-End Methodologies (React, Angular, Vue) Location and Schedule Location : Washington, DC Schedule : 40 hours per week, Monday through Friday, with core working hours from 9:00 a.m. to 3:00 p.m. local time. Security Requirement: Public Trust Travel: 0-10% Salary: $ 110K to $114K Company Profile: Founded in 1999 and headquartered in Reston, Virginia, Concept Solutions, LLC (CS) is a leading small business in technology, engineering, and management consulting. We are the innovative and agile force behind strategic solutions that enhance organizational efficiency and safeguard our nation across Aerospace, Defense, and National Security sectors. For over 25 years, CS has been a trusted partner for the Federal Aviation Administration (FAA), Department of Homeland Security (DHS), Department of Justice (DOJ), Department of Defense (DoD) and other federal agencies delivering vital IT, security, and project management services. Our commitment to excellence is reflected in our adherence to CMMI-DEV ML3, ISO 9001:2015, ISO/IEC 20000-1:2018, and ISO/IEC 27001-1:2013 standards. CS boasts company highlights that include: Over two decades of experience across over $300 million in contract awards supporting critical FAA programs Multiple contract vehicles providing opportunities across FAA, DoD, NOAA, and other Federal agencies Innovation Council - CS maintains an active Internal Research and Development (IR&D) program that is geared towards identifying emerging technologies and pursuing technological innovations At CS, we know our success stems from our talented team. That's why we prioritize the wellbeing and growth of our employees, fostering a positive culture centered on innovation, engagement, and career development. Benefits: Concept Solutions offers a competitive benefits and salary package you would receive from a large company. We offer health, dental, vision and life insurance, as well as a comprehensive 401(k) plan with matching and immediate vesting. Concept Solutions is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Concept Solutions is a VEVRAA federal contractor, and we request priority referral of veterans for available positions.
09/25/2026
Full time
Description Concept Solutions is seeking a Full Stack Developer to join a dedicated team of Information Technology (IT) professionals supporting the Federal Aviation Administration's (FAA) Command, Control, and Communications (C3) office. The C3 office carries a critical strategic mandate: ensuring FAA managers maintain daily situational awareness and uninterrupted continuity of communications during severe national emergencies, natural disasters, or critical equipment malfunctions. Should disruptions occur, the C3 office is chartered with executing rapid disaster recovery and restoring essential communication services expeditiously. This position is remote within 2 hours drive of Washington DC. The Mid-Level Full Stack Developer focuses on building, maintaining, and modernizing critical enterprise web applications, bridging legacy on-premises systems with the Amazon Web Services (AWS) cloud. The primary objective of this role is to participate in a team effort to refactor and migrate legacy web applications and workflows from Microsoft SharePoint Subscriber Edition (On-Premises) to modern, open-source technology stacks hosted on AWS (including AWS GovCloud and AWS Outposts environments). This effort will include the use of Artificial Intelligence (AI) to refactor legacy code. Working as a member of the DevSecOps team, this role ensures all front-end and back-end code is highly performant, accessible, and robustly secure, supporting highly available mission-essential functions under a FISMA Moderate framework. This position is vital to modernizing legacy application interfaces into secure cloud architectures, remediating findings from automated security pipelines, and establishing resilient, error-tolerant workflows for continuity of operations. Requirements Bachelor's degree in a technical discipline (Computer Science, Electrical Engineering, Information Technology, or a related field). 5 Years of Experience in Full-Stack Web Application Development, with a proven track record of refactoring monolithic/legacy platforms and migrating workloads to AWS. Expertise in the following prioritized areas is required: 1. Front-End Frameworks & UI Modernization: • Three or more years of practical experience building and maintaining complex, responsive, and accessible web interfaces. • Proven experience refactoring and modernizing legacy SharePoint pages, customized Master Pages, InfoPath forms, and web parts into clean, open-source UI frameworks. • Deep understanding of modern styling and layouts (HTML5, CSS3, modern JavaScript/TypeScript) to provide superior user experiences independent of SharePoint structures. 2. Back-End Development & API Refactoring: • Strong proficiency in server-side open-source development (such as .NET Core, C#, Node.js, or Python) and designing secure, modular RESTful APIs. • Proven experience replacing proprietary SharePoint server-side Object Models (SSOM) and Client-Side Object Models (CSOM) with standard open-source API architectures. • Experience decomposing monolithic logic into microservices or serverless applications to optimize for scalability and maintainability. 3. SharePoint Decoupling, Content Migration & Databases: • Practical experience in legacy discovery and analysis, including assessing existing SharePoint site hierarchies, document libraries, lists, and complex item-level permissions. • Proven capabilities migrating custom SharePoint list data into relational database models (such as Microsoft SQL Server, PostgreSQL, or Amazon RDS) and optimizing queries. • Experience refactoring legacy SharePoint workflows (SharePoint Designer, Power Automate, or K2) into modern cloud-native workflow engines like AWS Step Functions or serverless event-driven architectures. 4. AWS Cloud Hosting & CI/CD Pipelines: • Familiarity with refactoring and optimizing legacy applications for native deployment in cloud environments, specifically AWS GovCloud and AWS Outposts architectures. • General understanding of working with CI/CD automated deployment pipelines (such as Azure DevOps, GitLab CI, or GitHub Actions) to run automated SAST/DAST security scans and deploy code. • Participate on the DevSecOps team to build out code layers with the redundancy, error-handling, and failover capabilities necessary to support continuity of operations (COOP). 5. Security, Compliance & Federated Identity: • Strong proficiency implementing strict secure coding principles (OWASP Top 10) to satisfy NIST SP 800-53 security controls within a FISMA Moderate framework and remediating findings from pipeline scans. • Experience aligning custom SharePoint permissions and AD security groups with AWS IAM, AWS IAM Identity Center (formerly SSO), and modern federated identity protocols (OAuth2, OIDC, SAML). Preferred Professional Certifications: • AWS Certified Developer (Associate) or AWS Certified Solutions Architect (Associate) • CompTIA Security+ (required within 6 months of hire to satisfy IAM-II compliance) • Professional Certifications in Front-End Methodologies (React, Angular, Vue) Location and Schedule Location : Washington, DC Schedule : 40 hours per week, Monday through Friday, with core working hours from 9:00 a.m. to 3:00 p.m. local time. Security Requirement: Public Trust Travel: 0-10% Salary: $ 110K to $114K Company Profile: Founded in 1999 and headquartered in Reston, Virginia, Concept Solutions, LLC (CS) is a leading small business in technology, engineering, and management consulting. We are the innovative and agile force behind strategic solutions that enhance organizational efficiency and safeguard our nation across Aerospace, Defense, and National Security sectors. For over 25 years, CS has been a trusted partner for the Federal Aviation Administration (FAA), Department of Homeland Security (DHS), Department of Justice (DOJ), Department of Defense (DoD) and other federal agencies delivering vital IT, security, and project management services. Our commitment to excellence is reflected in our adherence to CMMI-DEV ML3, ISO 9001:2015, ISO/IEC 20000-1:2018, and ISO/IEC 27001-1:2013 standards. CS boasts company highlights that include: Over two decades of experience across over $300 million in contract awards supporting critical FAA programs Multiple contract vehicles providing opportunities across FAA, DoD, NOAA, and other Federal agencies Innovation Council - CS maintains an active Internal Research and Development (IR&D) program that is geared towards identifying emerging technologies and pursuing technological innovations At CS, we know our success stems from our talented team. That's why we prioritize the wellbeing and growth of our employees, fostering a positive culture centered on innovation, engagement, and career development. Benefits: Concept Solutions offers a competitive benefits and salary package you would receive from a large company. We offer health, dental, vision and life insurance, as well as a comprehensive 401(k) plan with matching and immediate vesting. Concept Solutions is an Equal Opportunity Employer, and we value workplace diversity. We invite resumes from all interested parties and consider applicants for all positions without regard to race, color, religion, sex, national origin, age, marital status, sexual preference, personal appearance, family responsibility, the presence of a non-job-related medical condition or physical disability, matriculation, political affiliation, veteran status, or any other legally protected status. Concept Solutions is a VEVRAA federal contractor, and we request priority referral of veterans for available positions.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations St. Louis, MO About the Job You're Considering Capgemini is seeking an experienced Sr. Stibo STEP Developer to support enterprise Product Master Data implementations using Stibo STEP. The role focuses on designing, configuring, developing, and deploying scalable MDM solutions supporting product onboarding, maintenance, retirement, governance, integrations, and data quality. Your Role: The Sr. Stibo STEP Developer will design and implement Stibo STEP configurations and customizations, collaborate with architects and business stakeholders, and ensure solutions meet performance, scalability, and governance requirements. Key Responsibilities Design and configure STEP data models, attributes, classifications, hierarchies, references, and LOVs. Develop workflows for product creation, maintenance, approval, and retirement. Configure business rules, validations, notifications, and data quality controls. Build integrations using STEP APIs, REST services, XML, STEPXML, and Boomi. Support data migration, mapping, transformation, reconciliation, and data loads. Configure roles, security, and access controls. Participate in testing, deployment, and production support. Mentor junior developers and conduct code reviews. Technical Skills 7+ years of MDM experience with 5+ years of hands-on Stibo STEP development. Expertise in STEP data modeling, workflows, business rules, security, and governance. Experience with JavaScript development within STEP. Experience with REST APIs, XML, STEPXML, and enterprise integration patterns. Knowledge of Boomi, JDE, SAP, Specright, Snowflake, and related platforms preferred. Experience with product master data governance and data quality management. Agile delivery experience and strong communication skills. Education Requirements : Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Relevant Stibo STEP certifications are preferred. The base compensation range for this role in the posted location is: $76,000 TO 187,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/25/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations St. Louis, MO About the Job You're Considering Capgemini is seeking an experienced Sr. Stibo STEP Developer to support enterprise Product Master Data implementations using Stibo STEP. The role focuses on designing, configuring, developing, and deploying scalable MDM solutions supporting product onboarding, maintenance, retirement, governance, integrations, and data quality. Your Role: The Sr. Stibo STEP Developer will design and implement Stibo STEP configurations and customizations, collaborate with architects and business stakeholders, and ensure solutions meet performance, scalability, and governance requirements. Key Responsibilities Design and configure STEP data models, attributes, classifications, hierarchies, references, and LOVs. Develop workflows for product creation, maintenance, approval, and retirement. Configure business rules, validations, notifications, and data quality controls. Build integrations using STEP APIs, REST services, XML, STEPXML, and Boomi. Support data migration, mapping, transformation, reconciliation, and data loads. Configure roles, security, and access controls. Participate in testing, deployment, and production support. Mentor junior developers and conduct code reviews. Technical Skills 7+ years of MDM experience with 5+ years of hands-on Stibo STEP development. Expertise in STEP data modeling, workflows, business rules, security, and governance. Experience with JavaScript development within STEP. Experience with REST APIs, XML, STEPXML, and enterprise integration patterns. Knowledge of Boomi, JDE, SAP, Specright, Snowflake, and related platforms preferred. Experience with product master data governance and data quality management. Agile delivery experience and strong communication skills. Education Requirements : Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field. Relevant Stibo STEP certifications are preferred. The base compensation range for this role in the posted location is: $76,000 TO 187,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs' collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at and about our values here. The Opportunity Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you'll own the pipelines, models, and datasets that power revenue reporting across Superhuman's AI-native productivity platform: Grammarly's writing assistance, Mail, Docs, Databases, and Go. You'll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data. Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite. This is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You'll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company's most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions. What you'll do Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite. Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance. Contribute to the revenue attribution model by building and maintaining the underlying datasets that connect product usage, customer lifecycle, and commercial signals into an explainable view of business performance. Model revenue data into clean, well-documented, reusable tables that Finance, Revenue Operations, analysts, and business partners can self-serve from. Own data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes. Partner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics. Continuously improve the performance, cost efficiency, and developer experience of our finance and revenue data platform. You'll do this alongside partners across Finance, Revenue Operations, Analytics Engineering, Product, and Engineering. We think from first principles, challenging the familiar to reframe problems and reach sharper solutions, and win with grit, staying with the hardest problems through the messy middle. You'll have the freedom to own your systems and directly influence the roadmap, and the complexity of what you build will grow quickly as we scale. Qualifications You have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases. You're highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar). You have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets. You bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions. You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment). You're comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output. You communicate clearly and collaborate effectively with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences. You care about business impact and enjoy turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics. You're a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment. Nice to have Direct experience supporting Finance, Revenue Operations, or revenue analytics, including metrics such as ARR, NRR, bookings, billing, or revenue attribution. Experience ingesting or modeling data from Stripe or similar billing, payments, ERP, or subscription-management systems. Experience working with product-usage data, usage-based billing, or attribution models. A track record of building well-documented, self-serve data products that business and analytics teams rely on. Compensation and Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. US Zone 1 175,000 to 245,000 US Zone 2 157,000 to 220,500 We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
09/25/2026
Full time
Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs' collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at and about our values here. The Opportunity Want to build the data foundations behind how Superhuman measures and grows its business? As a Data Engineer on the Finance & Revenue team, you'll own the pipelines, models, and datasets that power revenue reporting across Superhuman's AI-native productivity platform: Grammarly's writing assistance, Mail, Docs, Databases, and Go. You'll partner closely with Finance, Revenue Operations, Analytics, and Engineering to turn billing, bookings, customer, and product-usage signals into reliable, decision-grade data. Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich and complex revenue data opportunity, with signals spanning billing systems, self-serve and enterprise motions, and cross-product customer usage. The data you model connects those surfaces to create a unified view of ARR, NRR, bookings, and revenue performance across the Superhuman Suite. This is a high-ownership, high-impact role at the intersection of data engineering, finance, and business strategy. You'll own revenue-critical systems end-to-end and contribute to the revenue attribution model, ensuring the company's most visible financial datasets are precise, accessible, and trusted. Your work will directly shape how leadership understands business performance and makes investment decisions. What you'll do Design, build, and own scalable data pipelines (Spark/Databricks) that ingest and model billing, subscription, payment, and bookings data across the Superhuman Suite. Build and maintain the foundational datasets for ARR, NRR, bookings, and other revenue metrics, ensuring the company has a consistent, trusted view of financial performance. Contribute to the revenue attribution model by building and maintaining the underlying datasets that connect product usage, customer lifecycle, and commercial signals into an explainable view of business performance. Model revenue data into clean, well-documented, reusable tables that Finance, Revenue Operations, analysts, and business partners can self-serve from. Own data quality, freshness, and reliability for revenue-critical datasets, with automated checks, monitoring, alerting, and reconciliation processes. Partner with Finance, Revenue Operations, Analytics Engineering, Product, and Engineering to translate business questions into robust data models and trustworthy metrics. Continuously improve the performance, cost efficiency, and developer experience of our finance and revenue data platform. You'll do this alongside partners across Finance, Revenue Operations, Analytics Engineering, Product, and Engineering. We think from first principles, challenging the familiar to reframe problems and reach sharper solutions, and win with grit, staying with the hardest problems through the messy middle. You'll have the freedom to own your systems and directly influence the roadmap, and the complexity of what you build will grow quickly as we scale. Qualifications You have 3+ years of experience building and operating production data pipelines and data platforms, ideally supporting finance, revenue, billing, or other business-critical analytical use cases. You're highly proficient in SQL and have strong data engineering foundations, with hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar). You have strong data modeling and data warehouse design skills, with the ability to transform complex business processes and source-system data into clear, reliable, and reusable datasets. You bring a rigorous approach to data quality, precision, observability, and reconciliation, especially for datasets used in revenue reporting and business decisions. You have experience with workflow orchestration and CI/CD for data (for example, Databricks Workflows or Airflow, with Git-based deployment). You're comfortable using AI-assisted development tools like Codex or Claude Code to move faster, and you have the judgment to validate and supervise their output. You communicate clearly and collaborate effectively with business partners, analysts, engineers, and leadership, translating smoothly between technical and business audiences. You care about business impact and enjoy turning ambiguous finance and revenue questions into reliable, scalable data products and trustworthy metrics. You're a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment. Nice to have Direct experience supporting Finance, Revenue Operations, or revenue analytics, including metrics such as ARR, NRR, bookings, billing, or revenue attribution. Experience ingesting or modeling data from Stripe or similar billing, payments, ERP, or subscription-management systems. Experience working with product-usage data, usage-based billing, or attribution models. A track record of building well-documented, self-serve data products that business and analytics teams rely on. Compensation and Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future. US Zone 1 175,000 to 245,000 US Zone 2 157,000 to 220,500 We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply-especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking a dedicated Salesforce Developer to join our DCX team and contribute to the enterprise Salesforce implementations. Your Role Gather, analyze, and document business requirements and translate them into scalable Salesforce solutions. Configure and customize Salesforce using declarative tools, including Flows, Dynamic Forms, Validation Rules, Approval Processes, and Lightning App Builder. Design and develop custom solutions using Apex, Lightning Web Components (LWC), and Salesforce APIs. Build and enhance Lightning-based user experiences using Salesforce Lightning Experience. Develop reusable components, automations, and integrations that support business processes and improve user productivity. Perform unit testing, troubleshooting, debugging, and deployment support for Salesforce applications. Participate in data migration, data cleansing, and data loading activities using Salesforce data management tools. Participate in code reviews, solution design sessions, sprint planning, and Agile ceremonies. Create business process flows, user stories, solution documentation, training materials, and end-user guides. Support application maintenance, performance optimization, and production issue resolution. Collaborate with architects, business analysts, QA teams, and stakeholders to deliver high-quality Salesforce solutions. Exposure to Salesforce AI capabilities, Agentforce, Data Cloud, Prompt Builder, or Einstein features is a plus. Nice to Have Exposure to Salesforce Data Cloud. Experience with Agentforce, Prompt Builder, or Einstein AI capabilities. Knowledge of Experience Cloud. Experience with Copado CICD, DevOps Center, GitHub, GitLab, or Azure DevOps pipelines. Your Skills and Experience Years of Experience 1-3 years Experience building custom Salesforce applications using Apex and Lightning Web Components (LWC). Strong understanding of Salesforce Flow (Record-Triggered, Screen Flows, Scheduled Flows, and Orchestration). Experience with Lightning App Builder, Dynamic Forms, Dynamic Actions, Validation Rules, Approval Processes, and Security Model configuration. Knowledge of Salesforce Sales Cloud and/or Service Cloud. Familiarity with Salesforce Data Loader and Data Import tools. Experience integrating Salesforce with external applications using REST APIs and Platform Events. Working knowledge of Agile delivery methodologies and tools such as Jira or Azure DevOps. Salesforce Certifications preferred: Salesforce Administrator Platform App Builder Platform Developer I Service Cloud Consultant (preferred) The base compensation range for this role in the posted location is: $43,984- $105,600. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/25/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking a dedicated Salesforce Developer to join our DCX team and contribute to the enterprise Salesforce implementations. Your Role Gather, analyze, and document business requirements and translate them into scalable Salesforce solutions. Configure and customize Salesforce using declarative tools, including Flows, Dynamic Forms, Validation Rules, Approval Processes, and Lightning App Builder. Design and develop custom solutions using Apex, Lightning Web Components (LWC), and Salesforce APIs. Build and enhance Lightning-based user experiences using Salesforce Lightning Experience. Develop reusable components, automations, and integrations that support business processes and improve user productivity. Perform unit testing, troubleshooting, debugging, and deployment support for Salesforce applications. Participate in data migration, data cleansing, and data loading activities using Salesforce data management tools. Participate in code reviews, solution design sessions, sprint planning, and Agile ceremonies. Create business process flows, user stories, solution documentation, training materials, and end-user guides. Support application maintenance, performance optimization, and production issue resolution. Collaborate with architects, business analysts, QA teams, and stakeholders to deliver high-quality Salesforce solutions. Exposure to Salesforce AI capabilities, Agentforce, Data Cloud, Prompt Builder, or Einstein features is a plus. Nice to Have Exposure to Salesforce Data Cloud. Experience with Agentforce, Prompt Builder, or Einstein AI capabilities. Knowledge of Experience Cloud. Experience with Copado CICD, DevOps Center, GitHub, GitLab, or Azure DevOps pipelines. Your Skills and Experience Years of Experience 1-3 years Experience building custom Salesforce applications using Apex and Lightning Web Components (LWC). Strong understanding of Salesforce Flow (Record-Triggered, Screen Flows, Scheduled Flows, and Orchestration). Experience with Lightning App Builder, Dynamic Forms, Dynamic Actions, Validation Rules, Approval Processes, and Security Model configuration. Knowledge of Salesforce Sales Cloud and/or Service Cloud. Familiarity with Salesforce Data Loader and Data Import tools. Experience integrating Salesforce with external applications using REST APIs and Platform Events. Working knowledge of Agile delivery methodologies and tools such as Jira or Azure DevOps. Salesforce Certifications preferred: Salesforce Administrator Platform App Builder Platform Developer I Service Cloud Consultant (preferred) The base compensation range for this role in the posted location is: $43,984- $105,600. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking a dedicated Salesforce Developer to join our DCX team and contribute to the enterprise Salesforce implementations. Your Role Gather, analyze, and document business requirements and translate them into scalable Salesforce solutions. Configure and customize Salesforce using declarative tools, including Flows, Dynamic Forms, Validation Rules, Approval Processes, and Lightning App Builder. Design and develop custom solutions using Apex, Lightning Web Components (LWC), and Salesforce APIs. Build and enhance Lightning-based user experiences using Salesforce Lightning Experience. Develop reusable components, automations, and integrations that support business processes and improve user productivity. Perform unit testing, troubleshooting, debugging, and deployment support for Salesforce applications. Participate in data migration, data cleansing, and data loading activities using Salesforce data management tools. Participate in code reviews, solution design sessions, sprint planning, and Agile ceremonies. Create business process flows, user stories, solution documentation, training materials, and end-user guides. Support application maintenance, performance optimization, and production issue resolution. Collaborate with architects, business analysts, QA teams, and stakeholders to deliver high-quality Salesforce solutions. Exposure to Salesforce AI capabilities, Agentforce, Data Cloud, Prompt Builder, or Einstein features is a plus. Nice to Have Exposure to Salesforce Data Cloud. Experience with Agentforce, Prompt Builder, or Einstein AI capabilities. Knowledge of Experience Cloud. Experience with Copado CICD, DevOps Center, GitHub, GitLab, or Azure DevOps pipelines. Your Skills and Experience Years of Experience 1-3 years Experience building custom Salesforce applications using Apex and Lightning Web Components (LWC). Strong understanding of Salesforce Flow (Record-Triggered, Screen Flows, Scheduled Flows, and Orchestration). Experience with Lightning App Builder, Dynamic Forms, Dynamic Actions, Validation Rules, Approval Processes, and Security Model configuration. Knowledge of Salesforce Sales Cloud and/or Service Cloud. Familiarity with Salesforce Data Loader and Data Import tools. Experience integrating Salesforce with external applications using REST APIs and Platform Events. Working knowledge of Agile delivery methodologies and tools such as Jira or Azure DevOps. Salesforce Certifications preferred: Salesforce Administrator Platform App Builder Platform Developer I Service Cloud Consultant (preferred) The base compensation range for this role in the posted location is: $43,984- $105,600. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/25/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking a dedicated Salesforce Developer to join our DCX team and contribute to the enterprise Salesforce implementations. Your Role Gather, analyze, and document business requirements and translate them into scalable Salesforce solutions. Configure and customize Salesforce using declarative tools, including Flows, Dynamic Forms, Validation Rules, Approval Processes, and Lightning App Builder. Design and develop custom solutions using Apex, Lightning Web Components (LWC), and Salesforce APIs. Build and enhance Lightning-based user experiences using Salesforce Lightning Experience. Develop reusable components, automations, and integrations that support business processes and improve user productivity. Perform unit testing, troubleshooting, debugging, and deployment support for Salesforce applications. Participate in data migration, data cleansing, and data loading activities using Salesforce data management tools. Participate in code reviews, solution design sessions, sprint planning, and Agile ceremonies. Create business process flows, user stories, solution documentation, training materials, and end-user guides. Support application maintenance, performance optimization, and production issue resolution. Collaborate with architects, business analysts, QA teams, and stakeholders to deliver high-quality Salesforce solutions. Exposure to Salesforce AI capabilities, Agentforce, Data Cloud, Prompt Builder, or Einstein features is a plus. Nice to Have Exposure to Salesforce Data Cloud. Experience with Agentforce, Prompt Builder, or Einstein AI capabilities. Knowledge of Experience Cloud. Experience with Copado CICD, DevOps Center, GitHub, GitLab, or Azure DevOps pipelines. Your Skills and Experience Years of Experience 1-3 years Experience building custom Salesforce applications using Apex and Lightning Web Components (LWC). Strong understanding of Salesforce Flow (Record-Triggered, Screen Flows, Scheduled Flows, and Orchestration). Experience with Lightning App Builder, Dynamic Forms, Dynamic Actions, Validation Rules, Approval Processes, and Security Model configuration. Knowledge of Salesforce Sales Cloud and/or Service Cloud. Familiarity with Salesforce Data Loader and Data Import tools. Experience integrating Salesforce with external applications using REST APIs and Platform Events. Working knowledge of Agile delivery methodologies and tools such as Jira or Azure DevOps. Salesforce Certifications preferred: Salesforce Administrator Platform App Builder Platform Developer I Service Cloud Consultant (preferred) The base compensation range for this role in the posted location is: $43,984- $105,600. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Virginia Beach, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $140,000 - $165,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $140,000 - $165,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
09/25/2026
Full time
Quick Position Facts! Location: Arlington, Virginia at our G2 Ops office. Work Setting: In-Office with Hybrid or Flexible Schedule Available Based on Program Requirements Salary Range: $145,000 - $170,000 plus comprehensive benefits package. Years of Industry Experience: 10 + years of relevant experience. Security Clearance Requirement: Active DoD Secret clearance required at start, with the ability to obtain and maintain a DoD Top Secret clearance after starting. About the Role. As a Principal Software Engineer , you'll shape the technical direction of software capabilities supporting the AEGIS portfolio and Department of Defense missions. You'll serve as the senior software engineering lead across a portfolio of cybersecurity and digital engineering applications, with primary responsibility for the continued development and evolution of the SOFIA Cyber Analytics Platform and technical oversight of MONARCH, SMART, and related capabilities. This is a hands-on technical leadership role for an experienced software engineer who enjoys solving complex problems, setting technical direction, and mentoring other engineers. You'll work closely with software, cybersecurity, and systems engineers, program leadership, and customers to turn complex mission needs into secure, scalable, and maintainable software solutions. What You'll Do Lead the technical direction of SOFIA, MONARCH, SMART, and related software capabilities supporting the AEGIS portfolio. Own software architecture and guide the design, development, integration, deployment, and continued evolution of mission-focused applications. Provide hands-on technical leadership to the SOFIA development team, guiding technical planning, development priorities, design decisions, code quality, and engineering execution. Establish and promote software engineering standards and best practices across front-end and back-end development, APIs, databases, analytics, cloud integration, and plugin development. Translate user and mission needs into software architectures, technical requirements, development priorities, and executable solutions. Guide development of capabilities supporting cyber analytics, vulnerability and reachability analysis, mission impact assessment, data visualization, digital engineering, and decision support. Review software designs and source code, troubleshoot complex technical challenges, and mentor engineers through architecture reviews, code reviews, and technical planning. Advance modern development practices, including Agile, DevOps/DevSecOps, CI/CD, automated testing, configuration management, and secure software development. Evaluate emerging technologies, including AI, advanced analytics, cloud services, and modern software frameworks, and apply them where they provide meaningful value. Collaborate across engineering disciplines and with program leadership and customer stakeholders to support technical demonstrations, customer engagements, technical planning, proposals, and R&D efforts. What You'll Bring Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline; Master's degree preferred. 10+ years of professional software engineering experience, including designing, developing, enhancing, and sustaining software applications. Experience serving as a Lead Software Engineer, Principal Software Engineer, Software Architect, Technical Lead, or similar technical leadership role. Strong programming foundation with professional development experience in one or more modern programming languages. Experience with modern web applications, distributed systems, APIs, databases, cloud technologies, and data-driven software solutions. Strong understanding of software architecture and secure software development, with the ability to review designs and source code, troubleshoot complex issues, and provide technical direction to other engineers. Experience applying Agile and DevOps/DevSecOps practices, including CI/CD and modern software delivery approaches. Strong communication skills with the ability to lead technical discussions across multidisciplinary engineering teams, program leadership, and customer stakeholders. Experience supporting Department of Defense or Federal Government software development programs preferred. Experience with cybersecurity analytics, digital engineering, MBSE, system-of-systems environments, AI/advanced analytics, or mission-focused engineering applications preferred. Certified Scrum Developer, Agile Developer, comparable software development certification, and/or CompTIA Security+ preferred. Additional Considerations This is a full-time position supporting mission-focused customer environments. Outside employment or activities must not create conflicts of interest with company or customer responsibilities Why G2 Ops? What makes someone choose one company over another? Compensation, benefits, meaningful work, flexibility, growth opportunities, culture? At G2 Ops, we believe you shouldn't have to choose. We offer competitive pay and benefits, but what truly sets us apart is our collaborative culture. Team members support mission-focused projects alongside highly skilled technical professionals across engineering, cybersecurity, operations, and program teams. We encourage continuous learning, cross-training, and professional growth while empowering team members to contribute ideas that improve how we work and deliver value to our customers. At G2 Ops, your contributions matter to our customers' missions and to the continued success of our team. Compensation & Benefits. The annual salary range for this position is $145,000 - $170,000, depending on qualifications and experience. G2 Ops offers a competitive compensation and benefits package designed to support our employees both personally and professionally, including: 100% company-paid insurance for medical, dental, and vision for eligible employees and family members 100% company-paid insurance for life, short-term disability (STD), and long-term disability (LTD) for eligible employees 401(k) plan with discretionary employer matching 10 paid holidays Paid time off (PTO) Educational assistance In addition, we provide professional development opportunities, performance recognition programs, and resources that support long-term career growth and work-life balance. AI at G2 Ops. At G2 Ops, we don't just talk about AI - we actively use it to improve how we work. Our teams are integrating AI into engineering, cybersecurity, operations, and decision-making workflows. We continue to invest in secure AI tooling aligned with government security requirements while developing practical, mission-focused applications across the company. Whether your role is technical or operational, you'll have opportunities to explore how AI can enhance efficiency, innovation, and mission impact. Work Environment. Because we support classified and mission-critical DoD programs, many roles require onsite collaboration at G2 Ops offices and/or customer locations. Depending on program requirements, telework and flexible scheduling options may be available. We've built a collaborative environment where team members can learn, contribute, and grow while supporting meaningful customer missions. Ready to Apply? If you're excited about solving meaningful problems, working alongside talented teammates, and contributing to important mission-focused work, we'd love to hear from you. We look forward to learning more about you! About G2 Ops, Inc. (G2 Ops) G2 Ops leverages over a decade of experience integrating Systems, Cybersecurity, and Software Engineering techniques to provide solutions to a growing list of Government and private customers. We combine cutting edge tools with innovative engineering practices, data analytics, and risk algorithms that enhance visibility into complex infrastructures, optimizing resiliency in system design and operations. G2 Ops is a woman-owned small business led by an executive staff known for providing innovative solutions to solve our nation's most complex engineering challenges. G2 Ops has been named to the Inc. 5000 list of America's fastest growing companies each of the last 9 years () and has locations in Arlington, VA, Virginia Beach, VA, and San Diego, CA. G2 Ops, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. G2 Ops, Inc. participates in the E-Verify program. Employment is contingent upon verification of identity and authorization to work in the United States. Applicants have rights under Federal Employment Laws: E-Verify Participation and Right to Work Notices:
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
We are seeking one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products-such as curated datasets, analytics platforms, and data infrastructure. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. At a high level, the resource will lead the strategy, roadmap, and execution of data efforts, enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Product Managers at DCYF guide products through the full lifecycle-from ideation and design to development, deployment, monitoring, and deprecation. Sample Tasks Product Strategy & Vision: Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure). Identify high value opportunities by investigating the data landscape, pain points, and business needs. Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties. Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes. Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution. Data Product Development: Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration. Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met. Translate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines. Ensures data products are reliable, governed, and scalable. Interested Parties Management: Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF. Communicate product value, roadmap, and use cases to leadership and cross-functional teams. Prioritize incoming requests and balance competing needs across teams. Analytics, Insights & Measurement: Define success metrics and measure product performance and adoption. Ensure data products deliver actionable insights and support decision making. Partner with analytics teams to design dashboards, KPIs, and reporting frameworks. Governance, Compliance & Ethical Data Use: Uphold data governance, privacy, and ethical AI standards. Ensure compliance with regulatory and organizational data policies. Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF. Provide knowledge transfer Desired Qualifications Desired 4-7 years of experience in Data management, data analytics, data engineering, or related fields. Demonstrated Product leadership skills and ability to work in ambiguity. Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance. Proficiency collaborating with data Architecture, data engineering and data science teams. Ability to translate complex technical concepts into business-friendly language. Strong communication, prioritization, and stakeholder management skills. Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics). Understanding of large organizational data sharing constraints and data sharing agreements. Experience with SQL, data lakes, data and data pipelines / ETL. Significant experience with Databricks. Familiarity with Java and Python. Background in building internal platforms or developer facing products. Experience in implementing modern data architectures at an organization. Experience in a highly regulated industry performing statistical analysis and reporting.
09/25/2026
Contractor
We are seeking one full-time Data Product Manager who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products-such as curated datasets, analytics platforms, and data infrastructure. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems. At a high level, the resource will lead the strategy, roadmap, and execution of data efforts, enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise. This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle. Product Managers at DCYF guide products through the full lifecycle-from ideation and design to development, deployment, monitoring, and deprecation. Sample Tasks Product Strategy & Vision: Define the vision and roadmap for data products (e.g., data platforms, analytics tools, ML infrastructure). Identify high value opportunities by investigating the data landscape, pain points, and business needs. Align data product strategy with organizational priorities and long-term data architecture, in partnership with the Enterprise Architecture team and various interested parties. Connect data capabilities to business outcomes and organize efforts to achieve the business outcomes. Align engineering, analytics, and business teams. Uses metrics to guide prioritization and product evolution. Data Product Development: Lead the end-to-end lifecycle of data products: requirements, design, development, testing, launch, and iteration. Partner with data engineers and data scientists to build scalable pipelines, models, and data services. Ensure data quality, governance, lineage, and documentation standards are met. Translate business logic into data transformations, metadata, and domain specific rules. Skilled in or adept at data architecture, modeling, and pipelines. Ensures data products are reliable, governed, and scalable. Interested Parties Management: Serve as the primary liaison between technical teams at Minnesota IT Services (MNIT) and business partners across DCYF. Communicate product value, roadmap, and use cases to leadership and cross-functional teams. Prioritize incoming requests and balance competing needs across teams. Analytics, Insights & Measurement: Define success metrics and measure product performance and adoption. Ensure data products deliver actionable insights and support decision making. Partner with analytics teams to design dashboards, KPIs, and reporting frameworks. Governance, Compliance & Ethical Data Use: Uphold data governance, privacy, and ethical AI standards. Ensure compliance with regulatory and organizational data policies. Advocate for responsible data use across the human services space served by and supported through DCYF and MNIT DCYF. Provide knowledge transfer Desired Qualifications Desired 4-7 years of experience in Data management, data analytics, data engineering, or related fields. Demonstrated Product leadership skills and ability to work in ambiguity. Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance. Proficiency collaborating with data Architecture, data engineering and data science teams. Ability to translate complex technical concepts into business-friendly language. Strong communication, prioritization, and stakeholder management skills. Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics). Understanding of large organizational data sharing constraints and data sharing agreements. Experience with SQL, data lakes, data and data pipelines / ETL. Significant experience with Databricks. Familiarity with Java and Python. Background in building internal platforms or developer facing products. Experience in implementing modern data architectures at an organization. Experience in a highly regulated industry performing statistical analysis and reporting.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
