Responsibilities

Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimizing real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
Debugging production issues across services
Managing cloud costs and capacity planning
Working closely with a small engineering team — owning infra end-to-end

Requirements

~3+ years in a DevOps or platform engineering role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically