“What would you say you do here?”

• Collaborate across technology and production teams including principal engineers to shape the best practices of Platform as a Service implementation hosting stateless applications and AI infrastructure
• Influence and contribute to the Agentic Engineering and MCP Server Development efforts
• Major contributor to the development and adoption of governance, security, and observability best practices for AI and agentic systems, helping establish standards for secure, reliable, responsible, and observable AI agent development and operations
• Leverage Kubernetes orchestration and operators to automate stateless application deployments and administration across multiple environments (on-premises and in the cloud)
• Leverage Enterprise grade Kubernetes software stack solution for developing, deploying, and running AI workloads on a Kubernetes platform across development and production environments
• Identify areas for process and efficiency improvement within Platform Services; recommend solutions and assist in overseeing implementation. Actively facilitate continuous improvement.
• Monitor and maintain platform infrastructure, utilizing tools like Datadog for performance tracking, alerts, and capacity management
• Participate in continuous organizational cyber security vulnerability mitigation and compliance efforts
• Define and document standard run books and operating procedures. Create and maintain system information and architecture diagrams
• Develop and maintain microservices, tools and automation
• Provide software troubleshooting and break-fix support for production