Position Details
About this role
Kubernetes Engineer with TS/SCI clearance to design, implement, and operate cloud-based Kubernetes infrastructure across AWS, Azure, and GCP for mission-critical workloads. You will manage clusters, ensure high availability, and support AI/ML analytics workloads.
Key Responsibilities
- Manage and maintain the Kubernetes cluster, including node management, pod scaling, and resource allocation
- Ensure high availability and scalability of the AI/ML analytics platform, including monitoring and troubleshooting
- Manage and maintain dashboards for observability tools such as Grafana and Prometheus
- Collaborate with data scientists and engineers to deploy and manage AI/ML models, including monitoring and logging
- Develop and implement cloud platform automation and standardization across cloud providers
Technical Overview
Stack includes Kubernetes across AWS/Azure/GCP, cloud platforms, and DevOps tooling. Key focus areas include observability with Grafana/Prometheus, scripting (Python/PowerShell/Bash), and secure, scalable cloud platform operations.
Ideal Candidate
The ideal candidate is a mid- to senior-level cloud engineer with 8+ years of infrastructure experience, strong Kubernetes container platform expertise, and eligibility for TS/SCI clearance with Polygraph. They excel coordinating across cloud providers (AWS/Azure/GCP), automation, and observability work.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have Top Secret SCI clearance with Polygraph, No TS/SCI clearance, On-site in Herndon, VA required
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