Software Engineer
Relativity is a leading legal data intelligence company that builds technology to help users organize data and discover the truth. They are seeking a Software Engineer to build and operate backend services that power their generative AI platform, focusing on delivering reliable, scalable systems for AI-powered workflows.
Responsibilities
- Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
- Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
- Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
- Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
- Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
- Participate in pair programming to improve software quality and share design and implementation knowledge
- Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads
Skills
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience
- Experience building backend services using languages such as C#, Python, or similar
- Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
- Strong foundational knowledge of distributed systems, scalability, and backend service design
- Automation
- Documentations
- Engineering Design
- Problem Solving
- Process Improvements
- Project Management
- Quality Assurance (QA)
- Research and Development
- System Integration
- Troubleshooting
- Understanding of DevOps principles and experience with tools such as GitHub Actions
- Experience working with large language model (LLM) APIs or generative AI systems
- Experience designing and building scalable systems in Azure or other cloud platforms
- Experience with Kubernetes, serverless technologies, and cloud-native architectures
- Familiarity with domain-driven design and event-driven architecture
- Experience with AI-driven development practices or AI-assisted coding tools
- Awareness of emerging technology trends and their practical application in engineering
Benefits
- Competitive salary
- Health and retirement programs
- Wellness resources
- Discretionary time off (DTO)
- Parental leave for primary and secondary caregivers
- Company-wide breaks
- Home office stipend
- An equity program
- Annual performance bonus
- Long-term incentives
Company Overview
Company H1B Sponsorship