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Remote New Grad 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 ... 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 ... Adoption of new policies, technologies, and practices, as well as the evolution of existing ...

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 ... Adoption of new policies, technologies, and practices, as well as the evolution of existing ...

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 ... Adoption of new policies, technologies, and practices, as well as the evolution of existing ...

Keylent Inc

Sr Software Engineer

Middletown, CT · 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 ...

Cardinal Health

Software Engineer

Hartford, CT · Remote

Provide input on strategic planning/execution and introduction of new applications at the sites ... Remote Candidates who are back-to-work, people with disabilities, without a college degree, and ...

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All JobsNew Grad Software Engineer JobsRemote New Grad Software Engineer JobsRemote New Grad Software Engineer Jobs in Connecticut

Remote New Grad Software Engineer information

What is the difference between Remote New Grad Software Engineer vs Remote Software Developer?

AspectRemote New Grad Software EngineerRemote Software Developer
Required CredentialsBachelor's degree in CS or related field, internship experience often preferredSimilar educational background, may require more professional experience
Work EnvironmentEntry-level, mentored, collaborative teams, often in tech companies or startupsCan be entry or mid-level, more autonomous, in various industries
Employer & Industry UsageCommon in tech, startups, large corporations hiring entry-level talentUsed across industries, including tech, finance, healthcare, often for experienced roles

The main difference is that a Remote New Grad Software Engineer is an entry-level role designed for recent graduates, focusing on learning and growth, while a Remote Software Developer may have more experience and responsibilities. Both roles often require similar educational backgrounds and work in similar environments, but the developer role can involve more independent work and complex projects.

What are some unique challenges new grad software engineers face when starting in a fully remote environment?

New grad software engineers working remotely often encounter challenges such as building strong relationships with teammates, navigating company culture, and getting timely feedback. Without in-person interactions, it can take extra effort to communicate effectively, ask questions, and stay connected with mentors. Proactively reaching out through messaging tools, participating in virtual meetings, and setting up regular check-ins with managers can help ease the transition and ensure continued growth and support.

What is a Remote New Grad Software Engineer?

A Remote New Grad Software Engineer is an entry-level professional who has recently graduated from college or university with a degree in computer science or a related field and works from a location outside the traditional office setting. These engineers are responsible for designing, developing, testing, and maintaining software applications while collaborating with their teams virtually. Remote positions offer flexibility and the opportunity to work with companies regardless of geographic location, but they also require strong communication skills and self-motivation.

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

To thrive as a Remote New Grad Software Engineer, you need a solid understanding of programming languages (such as Python, Java, or JavaScript), algorithms, and software development principles, usually supported by a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, collaborative tools (e.g., Jira, Slack), and cloud platforms is typically expected. Strong self-motivation, effective communication, and the ability to learn independently are vital soft skills in a remote environment. These competencies ensure you can contribute to codebases, collaborate across distances, and adapt quickly to evolving technical challenges.
What are the most commonly searched types of New Grad Software Engineer jobs in Connecticut? The most popular types of New Grad Software Engineer jobs in Connecticut are:
What are popular job titles related to Remote New Grad Software Engineer jobs in Connecticut? For Remote New Grad Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote New Grad Software Engineer jobs in Connecticut look for? The top searched job categories for Remote New Grad Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote New Grad Software Engineer jobs? Cities in Connecticut with the most Remote New Grad Software Engineer job openings:
Remote New Grad Software Engineer jobs near you
Software Engineer

Software Engineer

Relativity

Bridgeport, CT • On-site, Remote

Other

Medical, Retirement

Posted 24 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