Lead Software Engineer

Relativity is a leading legal data intelligence company building AI-powered cloud technology to help users organize data and gain actionable insights for high-stakes legal work. The company serves the world’s largest law firms, corporations, and government agencies with its SaaS platform, RelativityOne.

Required:

• 7+ years of experience building distributed SaaS systems using .NET/C# or similar technologies, including 3+ years leading initiatives or teams
• Deep expertise in Azure, including AKS, Service Bus/Event Hubs, and Cosmos DB or SQL, with multi-region patterns
• Proven ownership of SLO/SLA outcomes, including on-call leadership and root cause analyses
• Strong experience with observability at scale, including OpenTelemetry tracing, metrics, logging, dashboards, and alert design
• Experience with CI/CD practices, including GitHub Actions or similar tools, canary/blue-green deployments, feature flags, and automated rollback
• Strong stakeholder communication skills with ability to influence across teams and communicate clearly in English
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

Preferred:

• Experience with FinOps practices including cost modeling, right-sizing, autoscaling, and capacity planning
• Strong background in Infrastructure as Code (e.g., Pulumi), Kubernetes operations, and container security
• Experience in platform enablement, including internal SDKs, templates, and "golden paths"
• Familiarity with service mesh technologies
• Experience with data streaming systems such as Kafka or Azure Event Hubs, and large-scale ingestion/ETL pipelines
• Knowledge of multi-tenant scaling techniques, including throttling and backpressure strategies

• Define architecture strategy and non-functional design to meet SLO/SLA and cost goals, ensuring security and regulatory alignment
• Lead multi-team Azure delivery and enable safe deployments across services such as AKS, Event Hubs/Service Bus, and Cosmos DB or SQL
• Implement policy-as-code, canary and blue-green deployments, environment parity, and automatic rollback
• Own reliability and observability through standardized tracing, metrics, logging, SLOs, error budgets, and alerting
• Drive post-incident improvements by leading root cause analysis and implementing fixes
• Champion Infrastructure as Code and platform "paved roads" to improve consistency and developer experience
• Guide engineers through design reviews and establish quality standards while unblocking cross-team dependencies
• Collaborate with Product to make data-informed trade-offs across reliability, cost, and delivery speed
• Influence stakeholders by negotiating priorities, mediating conflicts, and managing expectations
• Support team growth by contributing to development plans, delivering feedback, and raising the hiring bar
• Communicate through architectural decision records and narratives connecting technical trade-offs to business outcomes