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Remote Software Engineer Startup 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 ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

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 Software Engineer Startup information

What is the difference between Remote Software Engineer Startup vs Remote Software Engineer Corporate?

AspectRemote Software Engineer StartupRemote Software Engineer Corporate
CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS or related field, coding skills
Work EnvironmentFast-paced, flexible, small teamsStructured, larger teams, established processes
Employer & IndustryStartups, tech or innovative sectorsLarge corporations, diverse industries
Search & Comparison IntentFocus on startup culture, agilityFocus on stability, resources

Remote Software Engineer Startup roles typically involve working in dynamic, fast-growing environments with smaller teams, emphasizing innovation and flexibility. In contrast, Remote Software Engineer Corporate positions are more structured, with established processes and larger teams, offering stability and resources. Both roles require similar technical credentials but differ in work environment and company size.

What is a remote software engineer at a startup?

A remote software engineer at a startup is a professional who designs, develops, and maintains software applications while working from a location outside the company's physical office. These engineers use online collaboration tools to communicate with their team and contribute to fast-paced, innovative projects typical of startup environments. They are responsible for writing code, fixing bugs, and sometimes contributing to product design and strategy. Working remotely requires strong self-motivation, excellent communication skills, and the ability to adapt to rapidly changing situations common in startups.

What are some common challenges faced by remote software engineers working at startups, and how can they be addressed?

Remote software engineers at startups often encounter challenges such as navigating ambiguous requirements, adapting to fast-changing priorities, and maintaining effective communication across distributed teams. To address these, it's important to proactively seek clarification from product managers or team leads, embrace agile methodologies to stay flexible, and utilize collaboration tools like Slack, Jira, and GitHub for transparent communication. Building a habit of regular check-ins and documentation can also help ensure alignment and prevent misunderstandings in a dynamic startup environment.

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

To thrive as a Remote Software Engineer at a startup, you need strong programming skills (such as in Python, JavaScript, or Java), problem-solving abilities, and typically a degree in computer science or related experience. Familiarity with version control systems like Git, cloud platforms (e.g., AWS, Azure), and agile development tools is essential. Outstanding communication, self-motivation, and adaptability are vital soft skills for collaborating remotely and handling dynamic startup environments. These skills ensure you can deliver quality code, work effectively across distributed teams, and adapt quickly to changing priorities in a fast-paced startup setting.
What are the most commonly searched types of Software Engineer Startup jobs in Connecticut? The most popular types of Software Engineer Startup jobs in Connecticut are:
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Remote Software Engineer Startup jobs near you
Software Engineer

Software Engineer

Relativity

Bridgeport, CT • On-site, Remote

Other

Medical, Retirement

This job post has expired today. 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

Apply