Senior Software Engineer

Relativity is a legal data intelligence company that builds AI-powered, cloud-native software to help users organize data and gain insights for legal matters. The company serves law firms, corporations, and government agencies with its RelativityOne SaaS platform. The role is within the Import Export organization, part of the Ingestion Department, focusing on infrastructure for secure and high-throughput data movement.

Required:

• 5+ years of experience delivering C#/.NET or similar services with measurable reliability or performance improvements
• Experience designing distributed SaaS architectures and translating business requirements into resilient systems
• Production ownership experience, including leading on-call rotations and RCAs, and using telemetry to reduce incident volume and MTTR
• Experience with cloud-native development (any cloud platform; Azure preferred)
• 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 for technical communication

Preferred:

• Experience leading microservices development for high-volume, event-driven workloads
• Experience scaling ingestion systems, data pipelines, or ETL workflows with measurable outcomes
• Experience mentoring teams in agile practices and cross-team collaboration

• Design system architecture and define non-functional requirements for Import/Export services aligned to SLO/SLA targets
• Decompose complex problems into resilient, cloud-native designs and deliver milestones with measurable outcomes
• Advise and mentor engineers on code quality, technical debt management, and engineering best practices
• Own production systems, including leading on-call processes, root cause analyses (RCAs), and proactive issue resolution to reduce MTTR
• Drive operational excellence using observability data to prioritize work, automate alerting, and improve system visibility
• Partner with Product to shape the roadmap through clear trade-offs and data-driven decision-making
• Optimize CI/CD processes by designing automation that ensures predictable and compliant deployments