Architect test frameworks and infrastructure for validating microservices and infrastructure components in multi-cluster and hybrid-cloud environments.
Oversee the design of complex test scenarios simulating production-like workloads, resource scaling, failure injection, and recovery across distributed clusters.
Automation and Scalability Spearhead the development of scalable and maintainable test automation integrated with CI / CD (Jenkins, GitHub Actions, etc. ).
Leverage Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage, including system health, failover behaviour, and network resilience. Promote test infrastructure-as-code and drive IaC forward on the team, making sure the infrastructure code is repeatable, extensible and reliable.
Requirements :
Deep understanding of Kubernetes internals, cluster lifecycle management, Helm, service meshes (e. g., Istio or Linkerd), and network policies.
Strong scripting and automation capabilities (Python, Pytest, Bash, etc. ).
Familiarity with observability stacks (Prometheus, Grafana, Jaeger), Kubernetes security (RBAC, secrets management), and performance benchmarking tools (e. g., K6).
Solid grounding in cloud architecture (AWS, Azure, GCP), infrastructure provisioning, and containerised CI / CD.
Moderate to advanced Linux knowledge and proficiency are required : Bash scripting and debugging, systemd / logs, networking / firewalling / routing, certificate / PKI management, containers (Docker / containerd), and Kubernetes tooling (kubectl / Helm with OCI registries, GitOps / Flux) to install, test, and troubleshoot multi-cluster environments.
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