Accenture
Kubernetes Engineer
$100K–$180K
Aberdeen, MD +1 · Full-time · Posted Aug 27, 2026
- Location
- Aberdeen, MD
Aberdeen, Maryland, United States - Experience
- 4 years operating Kubernetes in production.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience.
- Visa sponsorship
- Applicants must have U.S. work authorization that does not now or in the future require visa sponsorship.
About the job
Designs, operates, and secures production Kubernetes platforms for federal workloads, while enabling application teams to deploy and manage services reliably.
What you'll do
- Deploy, operate, troubleshoot, and secure Kubernetes clusters and container workloads, including in air-gapped or hardened environments.
- Build CI/CD and GitOps workflows, automate provisioning, and implement observability, networking, secrets management, and service mesh capabilities.
- Support federal compliance and security processes, and help application teams adopt Kubernetes-native patterns and self-service practices.
What they ask for
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent hands-on experience.
- 4 years of experience operating Kubernetes in production, including cluster administration, workload scheduling, and troubleshooting.
- Strong Linux fundamentals and scripting ability in Bash, Python, or Go; hands-on experience with Helm, Kustomize, and Terraform.
- U.S. Citizen; active TS/SCI clearance required.
Nice to have
- Experience in DoD, IC, or other federal environments subject to STIGs, ATO, or Assured Workloads requirements; or air-gapped deployments.
- CKA or CKS certification; GitOps, service mesh, managed Kubernetes, OpenShift, Kubernetes AI/ML workloads, or open-source Kubernetes/CNCF experience.
Pay
$100,200 — $180,100 USD base salary
Tools
Kubernetes, Helm, Kustomize, Terraform, Bash, Python, Go, Prometheus
AI focus
Preferred experience includes Kubernetes-based AI/ML workload orchestration, including Kubeflow, KServe, and GPU scheduling.
Model-written summary · the original posting is authoritative