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Relativity

Senior Software Engineer

Posted 20 Days Ago
Remote
11 Locations
126K-190K Annually
Senior level
Remote
11 Locations
126K-190K Annually
Senior level
The Senior Software Engineer will design and build scalable cloud-native systems, mentor a team, and ensure system security and reliability while driving service ownership.
The summary above was generated by AI

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 harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including 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.
The Kubernetes Integration Team is seeking a Senior Engineer to help us prototype and rapidly build new tooling atop Kubernetes. You’ll have a thorough background in Kubernetes and related technologies, and in cloud computing in general. If you’re interested in joining a smart, capable, laid-back team that gets stuff done and builds stuff that matters, then we want to meet you.
If you’re passionate about solving hard problems, designing for scale, and building tools that matter—while working in a culture that values transparency, innovation, and shared success— Relativity offers the opportunity to make a measurable difference in the marketplace.

Job Description and Requirements

What You’ll Do 

  • 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. 

What We’re Looking For 

Required 

  • 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 GitHub Copilot, Cursor or Claude Code. 

Why We Could Be A Great Fit 

  • Impactful Mission: Organize Data, Discover the Truth and Act on It - Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform.  

  • 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 & 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

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