Senior Software Engineer

Senior Software Engineer

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. 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.

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.

At Relativity, engineers don't just write code. They shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using cloud-native 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.

What We're Looking For

• 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

Why We Could Be A Great Fit

• Help organizations organize data, discover the truth, and act on it in high-stakes legal and regulatory matters.
• Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth.
• Continuous delivery, strong observability, and end-to-end ownership.
• Diverse backgrounds and perspectives make us stronger.
• 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.

Required Skills:

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