5+ years devops or platform engineering experience
Deep aws experience with high-scale production systems
Hands-on docker, kubernetes, and helm in production
The role involves designing and operating a multi-cloud, multi-region Kubernetes platform that powers hundreds of Java microservices and ML model-serving workloads
Job Summary
The role involves designing and operating a multi-cloud, multi-region Kubernetes platform that powers hundreds of Java microservices and ML model-serving workloads.
Engineers will own CI/CD pipelines and monitoring stacks to ensure the velocity-vs-safety tradeoff is managed effectively across environments.
The team fosters a culture of ownership where employees are empowered to solve complex problems and drive meaningful architectural changes.
Matching Summary
The role involves designing and operating a multi-cloud, multi-region Kubernetes platform that powers hundreds of Java microservices and ML model-serving workloads.
Skills & Requirements
Must-have
5+ years DevOps or platform engineering experience
Deep AWS experience with high-scale production systems
Hands-on Docker, Kubernetes, and Helm in production
Fluent in Terraform, ArgoCD, and GitOps workflows
Experience with Jenkins, GitHub Actions, or Argo Workflows
Proficiency in Datadog, Coralogix, Prometheus, or Grafana