Software Engineer

About the role

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

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
• Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

• 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

Why we could be a great fit

• Impactful AI Platform - Build foundational systems that power Relativity’s generative AI capabilities and enable products across the aiR Suite
• Distributed Systems at Scale - Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently
• Cutting-Edge Technology - Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures
• Growth Opportunity - Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects
• Collaborative Culture - Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning

Compensation and Benefits

• Competitive salary
• Health and retirement programs
• Wellness resources
• Discretionary time off (DTO)
• Parenthood leave for primary and secondary caregivers
• Company-wide breaks
• Home office stipend
• Equity program