Deep understanding of containerization, Kubernetes, and cloud services. Focus on crafting simple, supportable, and easy-to-use developer tools. Ability to apply AI tooling to ship features and improvements quickly. Make smart, balanced choices based on business impact. Comfortable making decisions in uncertain situations. Excel in clear communication, risk understanding, and trade-off discussions. Collaborate effectively with product teams. Drive improvements in quality, reliability, and performance. Metrics-driven approach with a love for experimentation. Experience with Kubernetes ecosystem tooling. Familiarity with Infrastructure as Code tools (e.g., Terraform). Familiarity with CI/CD pipelines and tools (e.g., ArgoCD, GitHub Actions). Experience with observability tools (e.g., Prometheus, Grafana, Datadog, Rollbar). Some experience with modern front-end stacks (e.g., Webpack, Babel, Vue.js, React.js). Experience with server technologies (e.g., Node.js, Ruby on Rails). Experience with relational databases (e.g., MySQL, PostgreSQL). Understanding of distributed computing concerns (e.g., message queues, pub/sub). Understanding of GraphQL and RESTful APIs.