Software Engineer

Relativity
United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$126,000.0
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Artificial Intelligence Data Analysis Automation of Tests Big Data Cloud Computing Cloud Engineering Code Review Cursor (Graphical User Interface Elements) Distributed Systems Network Architecture Performance Tuning
+5 more
Software Engineering GitHub Copilot ReactJS Solid Principles Information Technology

Job description

As a Senior Software Engineer on the Discovery team, you will design, build, and operate the next generation of AI-driven, scalable, high-performance systems that process large volumes of data. You’ll work on secure, cloud-native solutions that support high-stakes legal workflows and operate at a significant scale.

Requirements

If you’re passionate about solving complex technical problems, designing for scale, and leading through influence while building tools that matter, Relativity offers the opportunity to make a measurable impact., Required

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
  • 5+ years of experience in software engineering, with a focus on cloud-native or distributed systems Strong understanding of modern software design principles and cloud-native architectures
  • Proven ability to deliver complex solutions and own them end to end in production environments
  • Experience working with distributed multi-tenant systems
  • Experience raising engineering quality through design discussions, code reviews, and mentorship
  • Solid understanding of CI/CD pipelines, automated testing, observability, and incident response
  • Strong cross-functional communication and collaboration skills Preferred Experience building full-stack systems at scale using React and .NET
  • Familiarity with performance tuning, scalability trade-offs, and secure-by-default design
  • Experience working in high-scale or regulated environments
  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code, Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

Benefits & conditions

  • Help organizations organize data, discover the truth, and act on it in high-stakes legal and regulatory matters.

Growth Path

  • Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth.

Engineering Culture

  • Continuous delivery, strong observability, and end-to-end ownership.

Inclusive Environment

  • Diverse backgrounds and perspectives make us stronger.

Community Impact

  • Volunteer opportunities and company-sponsored charitable programs.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company 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: $126,000 and $190,000

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.

About the company

Relativity is a leading legal data intelligence company building technology that helps usersorganize 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.

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