AI Platform Engineer — Remote & Cloud-Scale

LE0001 Relativity ODA LLC

Illinois

Hybrid

USD 103,000 - 155,000

Full time

9 days ago
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Benefits offered by this job

Home office stipend
Equity program
Annual company breaks

Job summary

Relativity ODA LLC in the United States is seeking an experienced engineer to join our AI Platform Experimentation Infrastructure team. You will design, build, and operate scalable cloud services that process petabytes of data weekly, contributing to AI-powered legal data solutions at scale.

The role emphasizes distributed systems, APIs, event-driven architecture, and a security‑and‑reliability‑focused mindset.

Qualifications

  • 3+ years designing, building, and operating cloud-native distributed systems.
  • Experience with APIs, event-driven architecture, and data platforms.
  • Ability to write clean, maintainable, well-tested code with modern tooling and CI/CD.
  • Security- and reliability-focused mindset with strong cross-functional collaboration.

Responsibilities

  • Design, develop, and operate distributed, scalable cloud services that process petabytes of data weekly.
  • Build performant, accessible user interfaces and extend backend services and data pipelines.
  • Write clean, testable, maintainable code to deliver customer impact.
  • Collaborate with engineering, product, and design to build AI-powered legal data solutions at mass scale.
  • Participate in design and code reviews to improve quality and maintainability.
  • Support reliability through on-call rotations and incident response.
  • Drive delivery with other Relativity teams and stay current with AI tools and techniques.

Skills

Cloud-native
Distributed systems
APIs
CI/CD
Security & reliability
Cross-functional collaboration

Tools

Python
GitHub
GitHub Actions
Docker
Azure
Kubernetes
Databricks
MLflow
OpenTelemetry
PagerDuty

Job description

Relativity ODA LLC in the United States is seeking an experienced engineer to join our AI Platform Experimentation Infrastructure team. You will design, build, and operate scalable cloud services that process petabytes of data weekly, contributing to AI-powered legal data solutions at scale.

The role emphasizes distributed systems, APIs, event-driven architecture, and a security‑and‑reliability‑focused mindset.

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