• Design, build, and maintain scalable, secure, and reliable cloud infrastructure to support high-traffic, business-critical digital applications. • Proactively improve system reliability, availability, and performance through automation, observability, and continuous optimization. • Collaborate cross-functionally with Web Development, QA, and Product teams to align infrastructure decisions with business and delivery goals. • Lead incident response, root cause analysis, and post-incident reviews, ensuring learnings are translated into systemic improvements. • Build and maintain CI/CD pipelines that reduce friction and increase deployment confidence. • Establish and evolve infrastructure-as-code standards to ensure consistency, scalability, and long-term maintainability. • Identify opportunities to incorporate AI-assisted tooling into DevOps workflows and partner with leadership to measure its impact on reliability, delivery velocity, and cost efficiency. • Drive security, resiliency, and cost-awareness across environments. • Own medium-to-large infrastructure initiatives from design through production, including documentation and long-term support. • Contribute to sprint planning and backlog refinement within an Agile environment, ensuring work is prioritized and delivered effectively. • Contribute to roadmap planning by identifying infrastructure investments that improve reliability, scalability, and developer velocity. • Evaluate technical trade-offs and clearly communicate risks, impact, and recommendations to stakeholders. • Develop and maintain runbooks, architectural diagrams, and system documentation to support operational excellence. • Mentor engineers by sharing best practices in DevOps and cloud architecture

• Work in an agile environment as part of a small, integrated design and development team, participating in agile ceremonies and directly supporting government customers. • Continuously improve client infrastructure and platform capabilities to support developers, data scientists, and AI-enabled workflows. • Support development teams in deploying, maintaining, and troubleshooting web applications and AI-enabled services in a secure environment progressing from IL2 to IL4+. • Design, deploy, and maintain CI/CD pipelines that support application delivery, experimentation, and secure software supply chains. • Serve as a subject matter expert in containerization and DevSecOps, providing guidance on secure deployment patterns, platform services, and automation best practices. • Automate provisioning of virtual machines and container platforms, enabling consistent, repeatable environments for development, testing, and deployment. • Enable secure access to cloud services and internal capabilities via custom APIs, including token-based access controls and service-to-service authentication. • Support secure experimentation environments, including notebooks and web-based IDEs (e.g., VS Code), while enforcing security and access controls. • Implement and maintain secure package management, artifact repositories, and controlled dependency update processes. • Support secure data transfer and access to segmented, secured environments, integrating SSO and role-based access controls across platform services. • Monitor application and infrastructure health, performance, and availability using enterprise observability tools.

• 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.