Senior AI Platform Engineer (Remote)

Relativity; Springfield (IL); Hybrid; USD 103,000 - 155,000; Full time

Benefits offered by this job

Home office stipend

Equity program

Two annual company breaks

Parental leave

Wellness resources

Job summary

Relativity is seeking an engineering professional to join the AI Platform’s Experimentation Infrastructure team, building scalable cloud services that process petabytes of data weekly and advancing AI-powered legal data solutions. You’ll work across cloud-native stacks with Python, GitHub, Docker, Kubernetes, and cloud tools, while embracing a culture of transparency and collaboration.

Ideal candidates have 3+ years designing distributed systems, a security‑minded approach, and a passion for

Qualifications

• 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.

Responsibilities

• Design, develop, and operate distributed, scalable cloud services that process large data volumes.
• Build performant, accessible user interfaces and extend backend services and data pipelines.
• Write clean, testable code to deliver customer impact.
• Collaborate with product and other teams to solve problems and deliver AI‑powered solutions at scale.
• Participate in design and code reviews and contribute to reliability efforts, including on‑call rotations.

Skills

APIs

Event-driven

CI/CD

Cloud-native

Distributed systems

Security

Collaboration

Tools

Claude

Cursor

Python

GitHub

GitHub Actions

Docker

Azure

Kubernetes

Databricks

MLflow

OpenTelemetry

PagerDuty

Job description

Relativity is seeking an engineering professional to join the AI Platform’s Experimentation Infrastructure team, building scalable cloud services that process petabytes of data weekly and advancing AI-powered legal data solutions. You’ll work across cloud-native stacks with Python, GitHub, Docker, Kubernetes, and cloud tools, while embracing a culture of transparency and collaboration.

Ideal candidates have 3+ years designing distributed systems, a security‑minded approach, and a passion for