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Posting Type
Hybrid/Remote
Job Overview
Who We AreRelativity 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 Shared Compute Infrastructure team builds and operates the Kubernetes platform that every RelativityOne 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 into platform capabilities rather than one-off exceptions.
Drive platform efficiency and capacity outcomes for your team’s surface area, balancing reliability targets against compute cost.
What We’re Looking For
Required
7+ years of experience designing, building and operating cloud-native systems.
Proven ability to set technical direction and lead teams effectively.
Hands-on experience designing and building distributed, multi-tenant systems.
Ownership of CI/CD, observability, and service reliability.
Strong product and systems thinking, balancing delivery speed with long-term sustainability.
Excellent communication, collaboration, and technical leadership skills.
Hands-on experience running Kubernetes in production, including cluster lifecycle, workload scheduling, and infrastructure as code.
Strong understanding of distributed systems, cloud networking, and security in a multi-tenant environment.
Preferred
Experience guiding UI, architecture or data platform design.
Prior people-lead or technical-lead experience.
Experience in regulated or large-scale environments.
Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code.
Experience working in global or highly distributed organizations.
Depth in Azure and AKS.
Experience operating a multi-cluster fleet across regions or cloud boundaries, such as commercial and government environments.
Experience with infrastructure as code and automation tooling.
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:
$150,000 and $224,000The 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:
Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, TroubleshootingSkills Required
- 7+ years of experience designing, building, and operating cloud-native systems
- Ability to set technical direction and lead teams effectively
- Hands-on experience designing and building distributed, multi-tenant systems
- Ownership of CI/CD, observability, and service reliability
- Strong product and systems thinking, balancing delivery speed with long-term sustainability
- Excellent communication, collaboration, and technical leadership skills
- Hands-on experience running Kubernetes in production, including cluster lifecycle, workload scheduling, and infrastructure as code
- Strong understanding of distributed systems, cloud networking, and security in a multi-tenant environment
- Experience guiding UI, architecture, or data platform design
- Prior people-lead or technical-lead experience
- Experience in regulated or large-scale environments
- Familiarity with AI-development tools such as GitHub Copilot, Cursor, or Claude Code
- Experience working in global or highly distributed organizations
- Depth in Azure and AKS
- Experience operating a multi-cluster fleet across regions or cloud boundaries, including commercial and government environments
- Experience with infrastructure as code and automation tooling
Relativity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Relativity and has not been reviewed or approved by Relativity.
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Leave & Time Off Breadth — Time off options include discretionary time off and two company‑wide breaks each year, providing additional recharge time.
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Healthcare Strength — Health coverage includes comprehensive medical, dental, and vision plans, telehealth access, and wellness resources such as a Headspace subscription.
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Parental & Family Support — North America offers up to 12 weeks of fully paid parental leave, with comparable regional programs in EMEA and APAC.
Relativity Insights
What We Do
At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it. Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.
Why Work With Us
We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.
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