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Remote Infrastructure Software Engineer Jobs in Connecticut

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... You will work at the intersection of distributed systems, cloud infrastructure, and applied AI ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

General experience with network infrastructure, servers, operating systems, databases, wireless ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · 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 ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · 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 ...

Hyperfine

Senior Software Engineer, Cloud

Guilford, CT · 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 ...

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Remote Infrastructure Software Engineer information

What are Remote Infrastructure Software Engineers?

Remote Infrastructure Software Engineers are professionals who design, build, and maintain the core systems and services that support an organization's IT infrastructure, all while working remotely. They focus on ensuring that networks, servers, cloud environments, and related software are secure, scalable, and reliable. Their responsibilities may include automating deployment processes, managing cloud resources, monitoring system performance, and troubleshooting issues. By working remotely, they leverage various collaboration tools to communicate with teams and manage critical infrastructure from anywhere.

How does a Remote Infrastructure Software Engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Infrastructure Software Engineers regularly work with DevOps, security, and development teams to ensure that infrastructure solutions are reliable and scalable. Collaboration often happens through daily stand-ups, code reviews, and shared documentation platforms, making strong communication skills essential. Tools like Slack, Jira, and Zoom are commonly used to bridge the distance and keep projects aligned. Successfully navigating time zone differences and asynchronous communication is a key part of the role, requiring proactive updates and flexibility.

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

To thrive as a Remote Infrastructure Software Engineer, you need a strong background in software engineering, computer networking, and distributed systems, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), infrastructure-as-code tools (like Terraform or Ansible), and CI/CD systems is essential, along with relevant certifications like AWS Certified Solutions Architect. Excellent problem-solving, communication, and self-management skills are crucial for collaborating effectively across distributed teams and handling complex remote projects. These skills ensure secure, reliable, and scalable systems that support business goals in a remote work environment.
What are the most commonly searched types of Infrastructure Software Engineer jobs in Connecticut? The most popular types of Infrastructure Software Engineer jobs in Connecticut are:
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Remote Infrastructure Software Engineer jobs near you
Software Engineer

Software Engineer

Relativity

Bridgeport, CT • On-site, Remote

Other

Medical, Retirement

Posted 20 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

Apply