Note: The job is a remote job and is open to candidates in USA. Relativity is a legal data intelligence company that provides AI-powered cloud technology for litigation, investigations, regulatory inquiries, and other high-stakes legal work. The Advanced Software Engineer will develop and operate scalable cloud services, storage platforms, user interfaces, backend services, and data pipelines that process petabytes of data while supporting reliability, security, and AI-powered legal data solutions.

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

Skills

• 3+ years designing, building, and operating cloud‑native, distributed systems
• Hands‑on experience with APIs, event‑driven architecture, and data platforms
• Proven competency in designing and developing distributed systems, cloud architecture patterns, and data-intensive applications
• 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
• Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code
• Familiarity with Agentic AI
• Experience or familiarity with Agentic AI development and autonomous LLM frameworks
• Experience building core platform services, including extensible APIs, client libraries, and automated cloud infrastructure control planes
• Familiarity with performance or cost optimization
• Hands-on experience with Azure technologies, specifically across storage, compute, and networking stacks

Benefits

• Health and retirement programs
• Wellness resources
• Discretionary time off (DTO)
• Parental leave for primary and secondary caregivers
• Two annual company breaks
• Home office stipend
• An equity program
• An annual performance bonus
• Long-term incentives
• Volunteer opportunities and company-sponsored charitable programs
• Engineers gain exposure across the stack, accelerating career growth
• Remote/Hybrid

Company Overview

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