Senior Software Engineer

Job Overview

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Its AI‑powered, cloud platform, Relativity One, 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.

The Kubernetes Integration Team is seeking a Senior Engineer to prototype and rapidly build new tooling atop Kubernetes. A thorough background in Kubernetes and related technologies, and in cloud computing in general, is required.

• Design, develop, and operate distributed, scalable, secure full‑stack cloud services, delivering reliable systems at petabyte scale.
• Build accessible user interfaces as well as backend services and data pipelines to deliver customer impact.
• Collaborate daily with a diverse group of teammates and product partners to solve problems, achieve team goals, and build AI‑powered legal data solutions that operate at massive scale.
• Troubleshoot and resolve complex issues in production environments.
• Influence reliability, security, and performance practices through example and feedback.
• Provide technical direction and mentorship to your team, lead design and code reviews, raising engineering quality and maintainability.
• Drive service ownership by leading reliability efforts, participating in on‑call rotations, and guiding incident response, resolution, and root cause analysis.

• 5+ years of experience designing, building and operating cloud‑native systems.
• Strong understanding of cloud‑native development and distributed architectures.
• Demonstrated ability to own and deliver complex solutions end to end, improving quality through thoughtful design discussions and thorough code reviews.
• Solid understanding of CI/CD, observability, and incident response.
• Experience guiding and mentoring other engineers.
• Strong cross‑functional communication and collaboration skills.
• A strong background in AI‑agentic coding, or an eagerness to learn.
• Preferred:
  Experience building full‑stack systems at scale.
• Familiarity with performance tuning and scalability trade‑offs.
• Experience in high‑scale or regulated environments.
• Familiarity with AI‑development tools like Git Hub Copilot, Cursor or Claude Code.

Impactful Mission:
Organize Data, Discover the Truth and Act on It. 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.

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. The expected salary range for this role is between $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.