RelativityRemote
Software Engineer
United States of America
Full Time
1 hour ago
$79,000 - $119,000 USD
H1B Sponsor Likely
Key skills
C#PythonDistributed SystemsBackend Service DesignCloud PlatformsGitHub ActionsLarge Language Model APIsGenerative AI SystemsAzureKubernetesServerless TechnologiesDomain-Driven DesignEvent-Driven ArchitectureUnit TestingIntegration TestingStatic AnalysisCAIGenerative AILLMServerlessGitHubProject ManagementProblem Solving
About this role
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. As a Software Engineer, you will build and operate backend services that power Relativity’s generative AI platform, working at the intersection of distributed systems, cloud infrastructure, and applied AI.
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
Requirements:
- 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