Software Engineer, Cloud Engineer - Software, Software Architect
Listed on 2026-06-06
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Software Development
Cloud Engineer - Software, Software Architect, Software Engineer, AI Engineer
Posting Type
Hybrid/Remote
Job OverviewWho 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 DoAt Relativity, engineers don’t just write code—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.
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- Drive design of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, owning architecture and implementation while influencing execution across engineering.
- Resolve complex, cross-organizational technical problems through deep technical expertise, collaboration, and hands‑on implementation.
- Provide technical direction across frontend, backend, and data layers, collaborating with teams, peers, and principal engineers on system design and architecture.
- Collaborate closely with teams to solve complex technical and business problems and build AI‑powered legal data solutions that operate at massive scale.
- Drive engineering standards across multiple teams, including performance, scalability, reliability, and security, through design and code reviews, patterns, best practices, documented standards, and coaching.
- Align technical execution with product strategy and delivery commitments, identifying and removing technical and operational friction.
- Mentor senior and lead engineers, shaping technical decision‑making and technical culture.
- 10+ years of experience designing, building and operating complex cloud‑native distributed systems.
- Demonstrated technical leadership across multiple teams or domains.
- Strong background in architecture, security, and reliability at scale.
- Ability to define technical direction and drive cross‑team alignment.
- Experience translating business goals into technical strategy.
- Proven ability to influence without formal authority.
- Strong mentorship and technical communication skills.
- Experience shaping data platforms or UI standards.
- Experience working in global or highly distributed organizations.
- Track record of driving organization‑wide technical improvements.
- Familiarity with AI‑development tools like Git Hub Copilot, Cursor or Claude Code.
- Experience in regulated or large‑scale environments.
- 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:
Volunte…
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