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Remote Defense Contractor Software Engineer Jobs in Connecticut

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Sr Software Engineer

Middletown, CT ยท Remote

$124K - $164K/yr

Python Developer Location: Middle town NJ, Remote: NO JD Good Python experience with: * Develop and maintain various software products * Responsibilities include writing and testing code * Debugging ...

Senior Software Engineer, Cloud

Guilford, CT ยท On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Senior Software Engineer, Cloud

Guilford, CT ยท On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Senior Software Engineer, Cloud

Guilford, CT ยท On-site +1

$143K - $165K/yr

The goal of this role is to design and develop key software systems for remote setup, management ... This engineer will work closely with other software engineers, product managers, UI/UX designers ...

Collaborate with software vendor partners as a technical SME/liaison, understanding application ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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Remote Defense Contractor Software Engineer information

What are the key skills and qualifications needed to thrive as a Remote Defense Contractor Software Engineer, and why are they important?

To excel as a Remote Defense Contractor Software Engineer, you typically need a strong background in computer science or engineering, proficiency in programming languages like C++ or Java, and active security clearance. Familiarity with secure coding practices, embedded systems, and tools such as Git, Jira, and specialized defense software development environments is crucial. Excellent problem-solving, communication, and self-motivation are standout soft skills for remote collaboration and meeting strict project requirements. These competencies ensure secure, reliable software delivery and effective teamwork in sensitive, mission-critical defense projects.

What is the difference between Remote Defense Contractor Software Engineer vs Remote Cybersecurity Software Engineer?

AspectRemote Defense Contractor Software EngineerRemote Cybersecurity Software Engineer
Required CredentialsBachelor's in CS or related, security clearances often preferredBachelor's in CS, Cybersecurity, or related; certifications like CISSP beneficial
Work EnvironmentDefense contractors, government projects, secure facilitiesTech companies, security firms, government agencies
Employer & Industry UsagePrimarily defense and military sectorsPrimarily cybersecurity and IT sectors
Common Search & ComparisonOften compared for security clearance and defense projectsCompared for network security and threat mitigation roles

The Remote Defense Contractor Software Engineer typically works on defense and military projects requiring security clearances, while the Remote Cybersecurity Software Engineer focuses on protecting networks and systems from cyber threats. Both roles require strong technical skills, but their industries and project types differ significantly.

How does a Remote Defense Contractor Software Engineer typically collaborate with team members and stakeholders given security and communication constraints?

Remote Defense Contractor Software Engineers often work with multidisciplinary teams, including developers, project managers, and cybersecurity specialists. Collaboration is facilitated through secure, government-approved communication platforms and version control systems that comply with strict security protocols. Regular virtual meetings and documentation are essential to ensure alignment on project requirements and updates. While remote work offers flexibility, engineers must be diligent in following procedures for handling sensitive information and may sometimes need to access secure facilities for classified work. Effective communication and adaptability are key to overcoming the challenges of working in a highly regulated, remote environment.

What is a Remote Defense Contractor Software Engineer?

A Remote Defense Contractor Software Engineer is a software developer who works for a company contracted by government defense agencies to build, maintain, or secure software systems, but does their work from a remote location instead of a traditional office or on-site facility. These engineers often develop applications for military or national security use, which can include communication systems, cybersecurity tools, or mission-critical platforms. Due to the sensitive nature of their work, they may require special security clearances and must adhere to strict security protocols even while working remotely.
What are the most commonly searched types of Defense Contractor Software Engineer jobs in Connecticut? The most popular types of Defense Contractor Software Engineer jobs in Connecticut are:
What are popular job titles related to Remote Defense Contractor Software Engineer jobs in Connecticut? For Remote Defense Contractor Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Defense Contractor Software Engineer jobs in Connecticut look for? The top searched job categories for Remote Defense Contractor Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Defense Contractor Software Engineer jobs? Cities in Connecticut with the most Remote Defense Contractor Software Engineer job openings:
Software Engineer

Software Engineer

Relativity

Bridgeport, CT โ€ข On-site, Remote

Other

Medical, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


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