Software Engineer

Relativity

Software Engineer responsible for backend services that power Relativity’s generative AI platform, focusing on distributed systems and cloud infrastructure.

Posted 5/22/2026full-timeIdaho, Illinois, Kansas, Kentucky, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $79,000 - $119,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudDistributed SystemsKubernetesPython

About the role

Key responsibilities & impact

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

What you’ll need

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
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

Comp & perks

health and retirement programs
wellness resources
discretionary time off (DTO)
parental leave for primary and secondary caregivers
company-wide breaks
home office stipend
equity program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

C#Pythonbackend servicesdistributed systemsscalabilityDevOps principlesKubernetesserverless technologiescloud-native architecturesAI-driven development practices

Soft Skills

collaborationquality focusprocess improvementpair programmingknowledge sharing

Certifications

Bachelor's degree in Computer Science