Kubernetes Engineer

Requirements

• Desirable but not required certifications include Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer - Professional, or Google Cloud Professional Cloud DevOps Engineer.
• Work Environment
• Offsite/remote.
• Must have strong internet connection.
• Quit workspace free from interruptions and background noise.
• Working at SOSi
• All interested individuals will receive consideration and will not be discriminated against for any reason

Benefits

Additional Information

SOSi is seeking a Kubernetes Engineer to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: 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 from WO-001. 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. Minimum Requirements: Bachelor's degree in Computer Science, Cloud Computing, or a related field, or; five (5) years of equivalent experience in Kubernetes administration. 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. 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.

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