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Lead Software Engineer

Job in Schaumburg, Cook County, Illinois, 60159, USA
Listing for: LE0001 Relativity ODA LLC
Full Time position
Listed on 2026-09-11
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Architect, DevOps
Salary/Wage Range or Industry Benchmark: 150000 - 224000 USD Yearly USD 150000.00 224000.00 YEAR
Job Description & How to Apply Below

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, 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.

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.

Shared Compute Infrastructure Team

The Shared Compute Infrastructure team builds and operates the Kubernetes platform that every Relativity One service runs on: a global fleet of AKS clusters spanning commercial and government clouds, together with the networking, routing, and extensibility layers beneath them. We own the platform’s reliability, scale, and cost efficiency end to end, from cluster lifecycle automation to the policy and scheduling controls that keep thousands of tenant workloads healthy.

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
  • Lead the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, contributing directly to implementation and guiding your team’s execution.
  • Provide clear technical direction across frontend, backend, and data layers, collaborating with team, staff, and principal engineers on system design.
  • Collaborate daily with a diverse group of teammates and product partners to solve problems, achieve shared goals, and build AI-powered legal data solutions that operate at massive scale.
  • Mentor engineers and lead through technical expertise, collaboration, and sound engineering judgment.
  • Establish and evolve engineering standards through design and code reviews, patterns, best practices, and coaching.
  • Align team execution with product strategy and delivery commitments, identifying and removing technical friction.
  • Lead service ownership across the team by driving reliability efforts, on-call practices, incident response, resolution, and root cause analysis.
  • Own delivery of platform capabilities across cluster lifecycle, workload scheduling, and infrastructure automation, applying and enforcing cloud-native architecture standards for the services your team owns.
  • Partner with consuming engineering teams to onboard their workloads onto the platform, translating their reliability and scale requirements…
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