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 are committed to expanding access to technology and supporting pro bono legal work.
WHAT WE DO
At Relativity, engineers don’t just write code. They shape how industries uncover critical insights, ensure compliance, and continuously evolve our platform using 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.
ABOUT THE ROLE
The Engineering Hub team is part of Engineering Systems at Relativity and focuses on building and operating internal infrastructure that enables engineers across the company to work more effectively. The team owns platforms such as the internal developer portal and software catalog, a developer metrics platform powered by a modern data stack, and an AI-assisted engineering knowledge base.
This role is centered on improving developer experience through platform engineering, data, and AI—helping engineers discover tools, measure productivity, and safely adopt emerging AI capabilities.
Job Description and Requirements
WHAT YOU’LL DO
- Design, build, and operate platform solutions that improve developer experience, including internal developer portal and software catalog capabilities
- Build and maintain data pipelines supporting developer metrics and DORA reporting using tools such as ADLS, Databricks, dbt, and Grafana
- Lead and contribute to architecture decisions for cloud-native, scalable platform systems
- Decompose complex business problems into practical technical designs
- Guide and mentor teammates through code reviews, pairing, and technical feedback
- Partner with engineers across the organization to identify friction points and deliver impactful platform improvements
- Own production systems by participating in on-call rotations, leading incident response, and driving root cause analysis
- Contribute to roadmap planning by identifying opportunities to improve engineering effectiveness
- Help define and build frameworks for AI tooling discoverability and governance, enabling responsible adoption of AI agents and tools
WHAT WE’RE LOOKING FOR
Required
- 5+ years of professional software development experience
- Strong proficiency in at least one backend language such as Python, Go, TypeScript, or C#
- Experience designing and building cloud-native applications on Azure or AWS
- Experience with data engineering concepts including pipelines, SQL, data modeling, and ETL/ELT workflows
- Demonstrated ability to lead technical projects, including scoping, cross-team alignment, and proactive communication
- Experience improving code quality, testing practices, and CI/CD automation, with the ability to manage technical debt strategically
- Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders
- Experience with observability tooling and using telemetry to drive system improvements
Preferred
- Hands-on experience with Backstage or similar internal developer portals
- Familiarity with DORA metrics or engineering productivity frameworks
- Experience with Databricks, dbt, or ADLS
- Experience with Grafana or similar observability platforms
- Experience building or integrating LLM-based systems, AI agents, or tool-calling protocols
- Experience designing governance or discoverability frameworks for AI/ML tooling
- Contributions to open-source projects within developer tooling, data engineering, or AI/ML ecosystems
WHY WE COULD BE A GREAT FIT
Impactful Mission
- Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
- Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
- Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
- Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
- Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
- Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
- Competitive salary, benefits, DTO, parental leave, and 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
