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Relativity ODA LLC in the United States is seeking an experienced engineer to join our AI Platform Experimentation Infrastructure team. You will design, build, and operate scalable cloud services that process petabytes of data weekly, contributing to AI-powered legal data solutions at scale.
The role emphasizes distributed systems, APIs, event-driven architecture, and a security‑and‑reliability‑focused mindset.
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.
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. This position will be part of the AI Platform’s Experimentation Infrastructure team. In brief, our mandate is to create and support tools and infrastructure that accelerate experimentation at Relativity.
Tech stack: Claude or Cursor, Python, GitHub, GitHub Actions, Docker, Azure, Kubernetes, Databricks, MLflow, OpenTelemetry, PagerDuty
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: $103,000 and $155,000 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.
We’re solving big data challenges in the legal tech industry, and we’re always looking for more people to join us on the journey. At Relativity, you'll learn cross‑functional skills to grow your career and have the chance to make a big impact on our customers, our industry, and our communities. We admire and value our employees, so it’s no surprise that our hiring process is designed to help us really get to know you – and for you to get to know us, too.