Senior Kubernetes Engineer
职责佩拉顿正在寻找一名经验丰富的高级库伯纳特斯工程师,以支持集装箱和代理工作负载的开发,现代化和迁移在政府多云环境中,拥有70+个客户租者并不断增长。申请人必须具有广泛的工程经验以及深入的库伯纳铁斯和 Azure 专业知识,包括设计和领导 Azure Kubernetes 服务 (AKS) 上集装箱平台要求和架构的实施,以及站起来运行 Agentic Runtime for Kubernetes (ARK) 来托管 AI-agent 工作负载。高级库伯尼特斯工程师将担任技术升级点,推动复杂事件的根源分析,并提供辅导和知识共享在工程团队之间。对性能的热情,强烈渴望质量合规,关注细节是该职位的先决条件。位置:远程工作时间:本职位需要从8:00 AM 东到5:00 PM 东日至天下工作。角色和责任:事故响应和故障解决 · 在 Azure Kubernetes 服务 (AKS) 和 ARK 代理运行环境中作为复杂事件和停机的 Tier 3升级点 · 负责调查和解决 Kubernetes 堆积的问题,包括 AKS 集群,控制层,CNI 网络,入口,CSI 存储和工作负载规划以及 ARK 控制层及其定制资源 (代理人,模型,团队,工具和查询)·推动高严重事件的根源分析并实施防止重复问题的解决方案 ·与利益相关者,领导人和受影响租户进行优先级事件通信平台监测和优化 · 通过 Azure Monitor,Managed Prometheus,Container Insights,Azure Log Analytics 和 OpenTelemetry 来定义和执行租户集群中可观测性标准,包括 ARK 发射的代理级远程计量。· 在这些集群,节点池和工作负载风险影响租户之前进行主动识别和缓解。·分析性能,成本和容量趋势以及建筑师优化以提高稳定,效率和规模安全度 Kubernetes 和 ARC 平台工程。· 在 Kubernetes 部署,升级和运营 ARK 管理其 CRD,
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Responsibilities
Peraton is seeking an experienced Senior Kubernetes Engineer to support development, modernization, and migration of containerized and agentic workloads in a government multi-cloud environment with 70+ customer tenants and growing.
The applicant must have extensive engineering experience and deep Kubernetes and Azure expertise, including designing and leading implementation of container-platform requirements and architecture on Azure Kubernetes Service (AKS), as well as standing up and operating Agentic Runtime for Kubernetes (ARK) to host AI-agent workloads. The Senior Kubernetes Engineer will serve as a technical escalation point, drive root cause analysis on complex incidents, and provide mentorship and knowledge sharing across engineering teams. A passion for performance, strong desire for quality conformance, and attention to detail are prerequisites for this position.
Location: RemoteWork Hours: This position requires working online from 8:00 AM Eastern to 5:00 PM Eastern
Day to Day Roles and Responsibilities:
Incident Response and Troubleshooting
- Serve as the Tier 3 escalation point for complex incidents and outages across the Azure Kubernetes Service (AKS) and ARK agentic-runtime environment
- Lead investigation and resolution of issues across the Kubernetes stack including AKS clusters, the control plane, CNI networking, ingress, CSI storage, and workload scheduling, as well as the ARK control plane and its Custom Resources (Agents, Models, Teams, Tools, and Queries)
- Drive root cause analysis on high-severity incidents and own implementation of solutions to prevent recurrence
- Manage high-priority incident communications with stakeholders, leadership, and affected tenants
Platform Monitoring and Optimization
- Define and enforce observability standards across tenant clusters using Azure Monitor, Managed Prometheus, Container Insights, Azure Log Analytics, and OpenTelemetry, including the agent-level telemetry emitted by ARK
- Lead proactive identification and mitigation of cluster, node-pool, and workload risks before they impact tenants
- Analyze performance, cost, and capacity trends and architect optimizations to improve stability, efficiency, and security at scale
Kubernetes and ARK Platform Engineering
- Lead management and maintenance of Azure Kubernetes Service (AKS) clusters and the ARK agentic runtime across a 70+ tenant environment
- Deploy, upgrade, and operate ARK on Kubernetes — managing its CRDs, controllers, and model and tool integrations (including MCP servers) to host AI agents declaratively and provider-agnostically
- Ensure all tenant resources are secure, FedRAMP compliant, and continuously optimized, enforcing Kubernetes RBAC, network policy, and Azure workload identity
- Partner with the Architecture team to design solutions aligned with the Azure Well-Architected Framework and Kubernetes best practices, and own and enforce Change Management procedures across the team
Collaboration, Mentorship, and Knowledge Sharing
- Serve as technical lead for 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
- Drive improvements in team metrics and service delivery in coordination with the Service Delivery Manager and Product Owner
- Maintain comprehensive documentation of incident response procedures, architecture decisions, and lessons learned
Qualifications
Basic Qualifications:
- Bachelors degree and 8 years of experience or a Masters degree and 6 years of experience or an Associates degree and 10 year of experience or a High School diploma/equivalent and 12 years of experience.
- Must be a U.S. Citizen with the ability to obtain and maintain a DHS Public Trust clearance.
- Engineering and systems analysis experience, with a deep hands-on focus on Kubernetes in production
- Extensive hands-on expertise operating Azure Kubernetes Service (AKS) and the broader Kubernetes stack — control plane, CNI networking, ingress, CSI storage, RBAC, Helm, and workload scheduling
- Hands-on experience deploying and operating Agentic Runtime for Kubernetes (ARK) or comparable Kubernetes-native agent or operator platforms built on the CRD-plus-controller pattern (e.g., Argo), including ARK Custom Resources (Agents, Models, Teams, Tools, and Queries) and MCP/A2A integration
- Proven experience leading incident management and root cause analysis in large-scale, multi-tenant government environments, with deep knowledge of FedRAMP compliance and Kubernetes and Azure security best practices
- Strong leadership, communication, and technical documentation skills; ability to communicate effectively with both technical teams and senior stakeholders
Preferred Qualifications:
- Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD), plus Microsoft Azure Administrator Associate (AZ-104) or Microsoft Azure Solutions Architect Expert (AZ-305)
- Proficiency with GitOps and Infrastructure as Code (Terraform, Bicep, Helm, and Argo CD or Flux) and CI/CD pipelines (Azure DevOps or GitHub Actions)
- Advanced scripting with Python, PowerShell, or Go for automation and remediation, including use of the ARK Python SDK (ark-sdk)
- Experience integrating LLM providers (Azure OpenAI, Anthropic, Google, or local models) behind an agentic runtime
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.
Target Salary Range
$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Originally posted on Himalayas