Back
Specialized Kubernetes, cloud, and FedRAMP requirements reduce candidate pool despite metro location.
FedRAMP and platform-validation emphasis makes this role industry-specific and less transferable.
Explicit 5+ years, mandatory Kubernetes and cloud experience, and tool-specific requirements make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end validation of two Kubernetes-based cloud platforms in parallel: Azure Local and FedRAMP-authorized GCP deployment, including deployment, Day-2 operations, upgrades, and decommission.
Design, execute, and document solution-level test cases covering reliability, availability, scalability, security, observability, performance, recoverability, and upgradability using Given/When/Then style.
Perform hands-on Kubernetes and cloud platform testing, root cause analysis by reading Terraform/Ansible/Helm charts, and conduct resilience and chaos testing to verify platform SLOs under failure.
5+ years of QA/SDET experience, with at least 2 years hands-on Kubernetes experience and 1+ year on a major public cloud (Azure or GCP).
Strong hands-on skills with Kubernetes tools and concepts including kubectl, Helm, operators, CRDs, PVCs, StatefulSets, ArgoCD/Flux, network policies, node affinity.
Fluency with Azure (AKS, Azure Monitor, Key Vault, Managed Identities) and GCP (GKE, Cloud Monitoring, Cloud KMS, Workload Identity).
Ability to read Terraform, Ansible, and Helm charts to understand and troubleshoot deployed infrastructure; experience with security and FedRAMP-aware testing (TLS, RBAC, container image scanning, audit logging).
Experienced in parallel validation and operational testing of complex Kubernetes cloud platforms involving hybrid and regulated environments (FedRAMP).
Skilled in test design articulating quality across multiple 'ilities' and comfortable collaborating as a peer in design and release planning with DevOps/DevSecOps engineers.
Strong observability and security testing expertise combining metrics/logs/traces analysis with security controls validation to drive platform reliability and compliance.