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Federal Government Software Engineer Jobs in Connecticut

The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Software Engineer

Danbury, CT · On-site

$90 - $120/hr

Software Engineer Location: Danbury, CT, US, 06810-8147 Job ID:114021 The Leonardo DRS Naval Power ... federal, state, or local laws. #NPS Our Vision. To be the leading mid-tier defense technology ...

Job Summary We are seeking a Software Engineer with 2-5 years of embedded development experience to ... federal, state, or local laws. #NPS Our Vision. To be the leading mid-tier defense technology ...

Senior Software Engineer [604]

New Haven, CT · On-site

$123K - $162K/yr

More than 100 organizations across commercial, government, and research sectors trust D-Wave to ... federal, state/provincial, local law. The base pay range for this role is: 125,000 - 187,000 USD ...

Senior Software Engineer

Windsor, CT · On-site

$100 - $130/hr

Other relevant cloud or software engineering certifications Work Schedule * Full time * Monday ... federal employment laws. For further information, please review the Know Your Rights notice from ...

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field ... federal employment laws. For further information, please review the Know Your Rights notice from ...

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field ... federal employment laws. For further information, please review the Know Your Rights notice from ...

The Staff Software Engineer will be a high-velocity full-stack builder for the new Product ... government surplus, lifting and material handling, energy, mining and agriculture. The company ...

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Showing results 1-20

Federal Government Software Engineer information

See Connecticut salary details

$60.4K

$140.3K

$195.5K

How much do federal government software engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for federal government software engineer in Connecticut is $140,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $164,600.00 per year, depending on experience, location, and employer.

What is a federal government software engineer?

A Federal Government Software Engineer designs, develops, and maintains software systems for government agencies. They work on secure, scalable, and mission-critical applications that support public services, defense, cybersecurity, and other national priorities. These engineers follow strict security and compliance guidelines, often collaborating with other government and contractor teams. The role may require knowledge of specific programming languages, cloud computing, and cybersecurity best practices. Security clearances may also be necessary, depending on the agency and project.

What do federal government software engineers do?

As a Federal Government Software Engineer, you may work on projects ranging from developing secure web applications and data management systems to maintaining legacy platforms or implementing new cloud solutions. Your responsibilities often include coding, system integration, collaborating with cross-functional teams, and ensuring compliance with federal cybersecurity guidelines. You might also participate in requirements analysis, testing, and deploying software solutions that serve the needs of both internal users and the public. The work environment is typically collaborative, structured, and mission-driven, with opportunities to contribute to impactful, large-scale initiatives.

What skills and qualifications are needed to be a federal government software engineer?

To thrive as a Federal Government Software Engineer, you need a strong background in computer science, programming languages (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with government-specific software systems, cloud platforms, cybersecurity standards (like FedRAMP or FISMA), and security clearances is often required. Excellent problem-solving, communication, and teamwork skills are crucial for collaborating with diverse stakeholders and managing complex projects. These abilities ensure the secure, reliable, and efficient development of software systems that support critical government operations.

What are the most commonly searched types of Federal Government Software Engineer jobs in Connecticut?

The most popular types of Federal Government Software Engineer jobs in Connecticut are:

What are popular job titles related to Federal Government Software Engineer jobs in Connecticut?

For Federal Government Software Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Federal Government Software Engineer jobs in Connecticut look for?

The top searched job categories for Federal Government Software Engineer jobs in Connecticut are:

Infographic showing various Federal Government Software Engineer job openings in Connecticut as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $140,337 per year, or $67.5 per hour.

Software Engineer

Relativity

Bridgeport, CT • On-site

Other

Medical, Retirement

Re-posted 18 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting