Advanced Engineer

LE0001 Relativity ODA LLC

Illinois

On-site

USD 103,000 - 155,000

Full time

14 days+

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Benefits offered by this job

Health and retirement programs
Discretionary time off (DTO)
Parental leave
Home office stipend
Equity program

Job summary

LE0001 Relativity ODA LLC is seeking talented software engineers to contribute in building secure, scalable, and cloud‑native full‑stack services. You will work on developing cutting-edge technology that organizes data for high-stakes legal challenges.

The role requires a strong focus on clean, maintainable code, with an emphasis on reliability and security. Benefits include a competitive salary range of $103,000 to $155,000, parental leave, and wellness resources.

Qualifications

  • 3+ years designing, building, and operating cloud-native, distributed systems.
  • Hands-on experience with APIs and event-driven architecture.
  • Strong security and reliability focus with cross-functional collaboration.

Responsibilities

  • Design, develop, and operate scalable full-stack cloud services.
  • Build user interfaces and extend backend services.
  • Support reliability efforts including incident response and on-call rotations.

Skills

Distributed systems design
API development
Cloud-native services
C# programming
Object-oriented programming (OOP)
Data platforms
CI/CD practices

Tools

Azure technologies
GitHub Copilot
Claude Code

Job description

Job Overview

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.

Responsibilities
  • Contribute to the design, development, and operation of distributed, scalable, secure full‑stack cloud services that process petabytes of data weekly.
  • Build performant, accessible user interfaces and extend backend services and data pipelines.
  • Consistently implement clean, testable, maintainable code to deliver customer impact.
  • Collaborate with a diverse group of teammates and product partners to solve problems, achieve team goals, and build AI‑powered legal data solutions at massive scale.
  • Actively contribute to design and code reviews, providing constructive feedback to improve quality and maintainability.
  • Contribute to service ownership by supporting reliability efforts, including on‑call rotations and incident response.
Qualifications
  • Required: 3+ years designing, building, and operating cloud‑native, distributed systems.
  • Hands‑on experience with APIs, event‑driven architecture, and data platforms.
  • Comfortable developing cloud‑based, distributed services.
  • Ability to write clean, maintainable, well‑tested code using modern tooling and CI/CD.
  • Security‑ and reliability‑focused mindset with strong cross‑functional collaboration across engineering, product, and design.
  • Strong proficiency in C# and object‑oriented programming (OOP) principles.
  • Preferred: Experience with full‑stack development and modern UI frameworks.
  • Familiarity with performance or cost optimization.
  • Familiarity with AI‑development tools such as GitHub Copilot, Cursor, or Claude Code.
  • Familiarity with Agentic AI.
  • Hands‑on experience with Azure technologies, specifically across storage, compute, and networking stacks.
  • Experience or familiarity with Agentic AI development and autonomous LLM frameworks.
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. The expected salary range for this role is between $103,000 and $155,000. Relativity is committed to competitive, fair, and equitable compensation practices. Eligibility for total compensation includes base salary, an annual performance bonus, and long‑term incentives.

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