• Release ownership and execution across major autonomy releases, incremental/performance releases, and hotfix/safety patches • Manage branching strategy, versioning, and release cut processes • Drive release readiness and go/no-go decisions in partnership with cross-functional teams • Design, build, and maintain internal tooling to support: • Release readiness dashboards and automated health checks • Simulation corpus integration and regression tracking • Release metrics collection, reporting, and visualization • Automated validation signal aggregation across sim, HIL, and on-road testing • Investigate and resolve complex issues arising from software/hardware interactions, distributed systems behavior, and on-vehicle vs. simulation discrepancies • Develop working understanding of sensor stack, middleware, autonomy stack, compute platforms, networking, and vehicle configurations • Enforce stage-gated release framework: Feature Complete → Code Freeze → Validation → Release Candidate • Integrate and interpret validation signals including simulation corpus results, regression testing, and vehicle testing • Ensure safety-critical issues are identified, tracked, and gated appropriately • Identify opportunities to improve system robustness, performance, and scalability — and build tooling to measure and track improvements • Support autonomy engineers in designing and integrating their components with the full May system • Contribute to and help maintain the team's knowledge base, runbooks, and release documentation

• Manage configuration and automation of On-Premise and Cloud environments; • Provide technical leadership for DevOps/SRE initiatives, ensuring reliability, scalability, and performance; • Implement and maintain CI/CD pipelines; • Develop scripts to automate operational processes (Ops); • Operate and support distributed and containerized infrastructures; • Implement and enhance monitoring and observability tools; • Support development teams in adopting DevOps best practices; • Work on projects managed with agile methodologies such as Scrum.

• Join a cutting-edge AWS and agent-based AI team to design, deploy, and maintain AWS infrastructures. • Build automation (DevOps) and ensure service reliability/stability (SRE). • Automate deployment and infrastructure management (Terraform, CloudFormation). • Implement proactive monitoring and ensure customer-facing service availability. • Actively participate in the on-call rotation to resolve critical incidents and conduct post-mortems to learn from them. • Collaborate to streamline production releases and document best practices.

• Serve as a servant leader and coach to one or more Scrum teams • Enable teams to self-organize, take ownership, and continuously improve delivery outcomes • Facilitate Scrum ceremonies (Sprint Planning, Daily Scrum, Reviews, Retrospectives) • Identify and remove impediments, escalating when necessary while encouraging team accountability • Partner closely with Product Owners, Business Analysts, and Engineering Leaders to ensure backlog items are well-defined, outcome-focused, and aligned to business priorities • Coach teams on breaking down work into valuable, testable increments • Leverage metrics such as flow, predictability, cycle time, and throughput to guide improvement • Champion the use of AI tools to increase productivity and quality