Advanced Software Engineer

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.

• 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.

• 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 customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform. 

• Growth Path: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth.  

• Engineering Culture: Continuous delivery, strong observability, and end-to-end ownership. 

• Inclusive Environment: Diverse backgrounds and perspectives make us stronger.  

• Community Impact: Volunteer opportunities and company-sponsored charitable programs. 

• Compensation & 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.