Senior Software Engineer

Relativity is a legal data intelligence company that develops AI-powered cloud software called RelativityOne for legal, regulatory, and investigative work. Their Import Export engineering team builds secure, reliable, and high-throughput data movement infrastructure for the RelativityOne SaaS platform.

• 5+ years of experience delivering C#/.NET services or similar technologies with measurable reliability or performance improvements.
• Experience architecting distributed SaaS systems and translating business requirements into resilient technical designs.
• Proven production ownership experience, including leading on-call rotations, conducting root cause analyses, and using telemetry to reduce MTTR and incident volume.
• Experience building and operating cloud-native solutions (experience with Azure or other major cloud platforms).
• Hands-on experience with CI/CD automation, automated testing, and deployment governance.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• Fluency in English with strong technical communication skills.

Preferred:

• Experience leading microservice initiatives for high-volume, event-driven workloads.
• Experience scaling ingestion platforms, data pipelines, or ETL workflows with measurable outcomes.
• Experience mentoring engineers and supporting agile planning and cross-team collaboration.

• Create architecture and non-functional designs for Import/Export services that meet SLO and SLA targets.
• Decompose complex problems into resilient, cloud-native solutions and deliver milestones with measurable outcomes.
• Advise and mentor team members on code quality, technical debt management, and engineering best practices.
• Own production systems by leading on-call activities, root cause analyses, and proactive issue resolution efforts that reduce MTTR.
• Drive operational excellence by leveraging observability data to prioritize work, automate alerts, and expose trustworthy metrics.
• Partner with Product to shape the roadmap through clear trade-off discussions and data-backed decisions.
• Optimize CI/CD practices by designing automation that keeps deployments predictable and compliant.