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Remote Reliability Engineer Jobs in Connecticut (NOW HIRING)

Relativity

Software Engineer

Bridgeport, CT · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... from reliability risks, and optimize cost and performance at scale. If you're excited about ...

Finalsite

Staff Engineer, Composer Platform

Glastonbury, CT · On-site +1

$180K - $250K/yr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Define and lead technical strategy ... Improve platform reliability, scalability, observability, and operational resilience * Establish ...

Archgroup

AVP, AI Engineering (Remote - EST)

Hartford, CT · Remote

$185K - $235K/yr

Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

New

Archgroup

AVP, AI Engineering (Remote - EST)

Hartford, CT · Remote

$185K - $235K/yr

Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

New

TekLeaders, Inc

Senior .NET Developer

Hartford, CT · Remote

$55.50 - $70.50/hr

Remote Rate: 45 on w2 Job Summary * We are seeking an experienced .NET Developer with strong ... Ensure application performance, security, and reliability * Participate in Agile/Scrum ceremonies ...

New

V-Soft Consulting Group Inc

Salesforce Developer

Hartford, CT · Remote

$56 - $74.25/hr

Remote V-Soft Consulting is currently hiring for a Salesforce Developer (Remote) for our premier ... Conduct system performance testing and tuning to ensure reliability and scalability. Review and ...

New

Calance US

Salesforce Developer $65.00

Hartford, CT · Remote

$75/hr

REMOTE - Hartford, CT 06103 Pay Rate:$65.00 (W2 only) or $75.00 (INCORPORATED), (Not accepting 1099 ... Conduct system performance testing and tuning to ensure reliability and scalability. Review and ...

New

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Remote Reliability Engineer information

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

To thrive as a Remote Reliability Engineer, you need a strong background in systems engineering, software development, and infrastructure management, often supported by a degree in computer science or a related field. Proficiency with cloud platforms (such as AWS, Azure, or GCP), monitoring tools (like Prometheus, Grafana), and relevant certifications (e.g., AWS Certified DevOps Engineer) is highly valuable. Excellent problem-solving, communication, and collaboration skills are crucial for working effectively across distributed teams and responding to incidents. These abilities ensure system reliability, quick incident resolution, and seamless remote teamwork, which are vital for maintaining high service uptime and user satisfaction.

How do Remote Reliability Engineers typically collaborate with on-site teams to address urgent technical issues?

Remote Reliability Engineers often utilize a combination of video conferencing, instant messaging, and collaborative monitoring tools to stay closely connected with on-site teams. When urgent technical issues arise, they participate in real-time troubleshooting sessions, analyze system logs remotely, and may guide on-site staff through step-by-step resolution procedures. Building strong communication channels and regular check-ins are essential to ensure swift and effective collaboration, even across different time zones. This structure allows Remote Reliability Engineers to contribute significantly to system uptime while working from a distance.

What is a Remote Reliability Engineer?

A Remote Reliability Engineer is a professional who works from a remote location to ensure that systems, applications, or infrastructure are reliable, available, and performing well. Their responsibilities typically include monitoring system health, diagnosing issues, implementing preventative measures, and collaborating with teams to improve system reliability. They often use tools for automation, incident response, and performance monitoring, all while working offsite. This role is critical in minimizing downtime and ensuring a smooth user experience, especially for companies with complex technical environments. Remote Reliability Engineers must have strong problem-solving skills and be proficient in cloud technologies, automation, and incident management.

What is the difference between Remote Reliability Engineer vs Remote Site Reliability Engineer?

AspectRemote Reliability EngineerRemote Site Reliability Engineer
CredentialsTypically requires certifications like AWS Certified Solutions Architect, Linux Foundation certificationsSimilar credentials, often with additional focus on site-specific tools and monitoring
Work EnvironmentPrimarily remote, focusing on cloud infrastructure and system reliabilityRemote with some on-site responsibilities, focusing on infrastructure and operational stability
Industry UsageUsed across tech, cloud providers, SaaS companiesCommon in data centers, cloud providers, and large enterprise IT
Search & Comparison IntentOften compared due to overlapping roles in system reliability and cloud infrastructureCompared for on-site vs remote operational responsibilities

The main difference is that Remote Reliability Engineers focus on cloud and system reliability remotely, while Remote Site Reliability Engineers may have some on-site duties related to infrastructure. Both roles require similar skills and certifications but differ in their work environment and specific responsibilities.

What are the most commonly searched types of Reliability Engineer jobs in Connecticut? The most popular types of Reliability Engineer jobs in Connecticut are:
What are popular job titles related to Remote Reliability Engineer jobs in Connecticut? For Remote Reliability Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Reliability Engineer jobs in Connecticut look for? The top searched job categories for Remote Reliability Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Reliability Engineer jobs? Cities in Connecticut with the most Remote Reliability Engineer job openings:
Remote Reliability Engineer jobs near you
Software Engineer

Software Engineer

Relativity

Bridgeport, CT • On-site, Remote

Other

Medical, Retirement

Posted 8 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