Advanced Software Engineer

Relativity ODA LLC; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Relativity ODA LLC in the United States seeks a software engineer to design and operate cloud-native, distributed systems powering AI-driven legal data solutions. You will work on APIs, data pipelines, and scalable services across regions, contributing to reliability and performance at scale.

Join a team that values collaboration, on-call ownership, and responsible use of AI in regulated environments. Experience with Python or C#/.NET, Kubernetes, and modern CI/CD is ideal; remote or hybrid work

Qualifications

• 3+ years designing, building, and operating cloud-native distributed systems.
• Experience with APIs, event-driven architectures, and data platforms.
• Proficiency in Python and/or C#/.NET with production Kubernetes experience.
• Security- and reliability-focused mindset with the ability to own a service and participate in on-call.
• Familiarity with CI/CD pipelines and modern tooling.

Responsibilities

• Design, develop, and operate 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.
• Write clean, well-tested code with CI/CD and automated testing.
• Collaborate with product and engineering teams to deliver AI-powered legal data solutions at scale.
• Contribute to design and code reviews to improve quality and maintainability.
• Support reliability efforts, including on-call rotations and incident response.
• Improve throughput, latency, and cost per document across the platform across regions.
• Shape APIs and deploy new models safely across cloud environments.

Skills

Distributed systems

APIs

Python

C#/.NET

Kubernetes

CI/CD

On-call support

Telemetry/observability

Tools

Temporal

Airflow

Step Functions

GitHub Copilot

Claude Code

OpenAI API

Job description

Posting Type

Hybrid/Remote

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 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 Do

At Relativity, engineers don't just write code- they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. 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.

Our team builds the AI platform that Relativity's aiR products run on. We own the systems that orchestrate large-scale document review by LLM - durable workflows that carry a job through millions of documents - and the gateway that routes every model request across cloud regions and sovereign environments while managing capacity, throughput, and cost. Every AI feature our customers touch runs through our stack, and the work is equal parts distributed systems, LLM infrastructure, and reliability engineering.

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

• 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.
• C onsistently 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.
• Improve throughput, latency, and cost per document across the platform: capacity headroom, token efficiency, and model routing and failover across regions.
• Partner directly with the product teams building on the platform to shape its APIs and get new models and capabilities into production safely, including in government cloud environments.

What We're Looking For

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.
• Proficiency in Python and/or C#/.NET, with production experience running services on Kubernetes in a major cloud.
• A track record of debugging and improving systems in production: distributed tracing, metrics, and comfort owning a service others depend on, on-call included.

Preferred

• Experience with full-stack development and modern UI frameworks.
• Familiarity with performance or cost optimization .
• Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code.
• Experience building on LLM APIs (Azure OpenAI, OpenAI, Anthropic): prompt and model versioning, evaluation, streaming, token accounting, or working within rate limits and provisioned throughput.
• Experience with durable workflow engines (Temporal, Airflow, Step Functions) or high-volume batch and streaming data pipelines.
• Interest in agentic systems - MCP, tool calling, and the infrastructure that makes them safe to run in a regulated environment.

Why We Could Be A Great Fit

Impactful Mission: Organize Data, Discover the Truth and Act on It - Our custo