Senior Software Engineer

Posting Type Remote/Hybrid 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 AIpowered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes 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 shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using cloudnative architectures, AI capabilities, and modern developer tooling.

Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We're reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. Discovery Team As a Senior Software Engineer on the Discovery team, you will design, build, and operate the next generation of AIdriven, scalable, highperformance systems that process large volumes of data.

You'll work on secure, cloudnative solutions that support highstakes legal workflows and operate at significant scale. 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. Job Description and Requirements WHAT WE'RE LOOKING FOR Required Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience 5+ years of experience designing, building, and operating cloudnative or distributed systems Strong understanding of cloudnative development and modern distributed architectures Proven ability to deliver complex solutions and own them end to end in production environments Ability to raise engineering quality through design discussions, code reviews, and technical mentorship Solid understanding of CI/CD pipelines, observability, and incident response Strong crossfunctional communication and collaboration skills Preferred Experience building fullstack systems at scale Familiarity with performance tuning and scalability tradeoffs Experience working in highscale or regulated environments Familiarity with AIassisted development tools such as GitHub Copilot, Cursor, or Claude Code WHY WE COULD BE A GREAT FIT Impactful Mission Help organizations organize data, discover the truth, and act on it in highstakes legal and regulatory matters.

Growth Path Engineers gain exposure across the stack, from distributed systems to AIenabled workflows, accelerating career growth. Engineering Culture Continuous delivery, strong observability, and endtoend ownership. Inclusive Environment Diverse backgrounds and perspectives make us stronger.

Community Impact Volunteer opportunities and companysponsored 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.

Required Skills: Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership