Kubernetes Engineer - Mid

About the position Configure, deploy, and maintain Kubernetes clusters tailored for each IL environment (IL2, IL4, IL5), ensuring support for ESRI ArcGIS services and integration with agency-provided infrastructure. Develop and manage Helm charts and Kubernetes Operators for declarative deployment and automated scaling of ESRI services, including Notebook Server and GeoAnalytics Server. Configure persistent volume claims and provision container-native storage (e.g., AWS EBS, Azure Disks) to support ESRI workloads, ensuring durability and compliance with backup and recovery policies. Integrate Kubernetes-native monitoring and logging solutions (e.g., Prometheus, Fluentd, or OpenTelemetry) to support observability and IL-compliant reporting across environments.

Responsibilities

• Configure, deploy, and maintain Kubernetes clusters tailored for each IL environment (IL2, IL4, IL5), ensuring support for ESRI ArcGIS services and integration with agency-provided infrastructure.
• Develop and manage Helm charts and Kubernetes Operators for declarative deployment and automated scaling of ESRI services, including Notebook Server and GeoAnalytics Server.
• Configure persistent volume claims and provision container-native storage (e.g., AWS EBS, Azure Disks) to support ESRI workloads, ensuring durability and compliance with backup and recovery policies.
• Integrate Kubernetes-native monitoring and logging solutions (e.g., Prometheus, Fluentd, or OpenTelemetry) to support observability and IL-compliant reporting across environments.

Requirements

• Possess the knowledge and capability to design, deploy, and manage containerized applications in a cloud-native environment using Kubernetes.
• Proficient in Kubernetes cluster orchestration, container networking, Helm chart deployment, and automation of CI/CD pipelines.
• Strong knowledge of cloud infrastructure services (AWS, Azure, GCP), security best practices, and Kubernetes monitoring/logging tools (Prometheus, Grafana, ELK stack) is required.
• Demonstrated experience in deploying and managing Kubernetes clusters, troubleshooting containerized applications, and implementing service mesh architectures such as Istio or Linkerd.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible is required.
• Bachelor’s degree in Computer Science, Cloud Computing, or a related field, or five (5) years of equivalent experience in Kubernetes administration.

Nice-to-haves

• Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer – Professional, or Google Cloud Professional Cloud DevOps Engineer.

Benefits

• Excellent medical, dental, and vision benefits
• PTO
• 11 paid federal holidays
• Tuition assistance
• Paid military-reserve leave
• Paid parental leave for birth or adoption
• 401k matching up to 5 percent of the base salary
• Flex time
• Company-paid short-term disability, long-term disability, and life insurance.