Senior Kubernetes Engineer
Peraton · UNAVAILABLE, UNAVAILABLE, US
About this role
## Senior Kubernetes Engineer ### Overview Peraton is seeking an experienced **Senior Kubernetes Engineer** to support the development, modernization, and migration of **containerized and agentic workloads** in a **government multi-cloud environment** with **70+ customer tenants**. You will bring deep expertise in **Kubernetes** and **Azure**, including: - Designing and leading **container platform architecture** on **Azure Kubernetes Service (AKS)** - Standing up and operating **Agentic Runtime for Kubernetes (ARK)** to host **AI-agent workloads** ### Location & Hours - **Location:** Remote - **Hours:** 8:00 AM – 5:00 PM Eastern (online) --- ### Day-to-Day Responsibilities #### Incident Response & Troubleshooting - Serve as **Tier 3 escalation** for complex incidents and outages across **AKS** and **ARK** - Lead investigations across the Kubernetes stack, including: - AKS clusters and control plane - **CNI networking**, **ingress**, **CSI storage**, and **workload scheduling** - **ARK control plane** and its Custom Resources (**Agents, Models, Teams, Tools, Queries**) - Drive **root cause analysis** on high-severity incidents and implement solutions to prevent recurrence - Manage high-priority incident communications with **stakeholders, leadership, and affected tenants** #### Platform Monitoring & Optimization - Define and enforce observability standards across tenant clusters using: - **Azure Monitor**, **Managed Prometheus**, **Container Insights**, **Azure Log Analytics**, **OpenTelemetry** - Agent-level telemetry emitted by **ARK** - Proactively identify and mitigate risks across **clusters, node pools, and workloads** - Analyze **performance, cost, and capacity** trends and architect optimizations for stability, efficiency, and security #### Kubernetes & ARK Platform Engineering - Manage and maintain **AKS** clusters and **ARK** across a **70+ tenant** environment - Deploy, upgrade, and operate **ARK on Kubernetes**, including: - Managing **CRDs** and **controllers** - Integrating models and tools (including **MCP servers**) to host AI agents declaratively and provider-agnostically - Ensure tenant resources are **secure**, **FedRAMP compliant**, and continuously optimized by enforcing: - **Kubernetes RBAC** - **Network policies** - **Azure workload identity** - Partner with Architecture to align solutions with the **Azure Well-Architected Framework** and Kubernetes best practices - Own and enforce **change management** procedures #### Collaboration, Mentorship & Knowledge Sharing - Lead incident intake, triage prioritization, and team workload management - Mentor and train **Tier 2** engineers on Kubernetes and agentic-runtime operations - Lead knowledge transfer sessions to build team capability - Improve team metrics and service delivery with the **Service Delivery Manager** and **Product Owner** - Maintain documentation for incident response procedures, architecture decisions, and lessons learned --- ### Prerequisites - Passion for **performance** - Strong desire for **quality conformance** - High attention to detail > Note: The provided description ends at “Qualifications Basic...”.
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