Kubernetes Engineer

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🕒 June 30

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SOSi

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1989

🏛️ Government

🤖 Artificial Intelligence

🔒 Cybersecurity

Government • Artificial Intelligence • Cybersecurity

SOSi is a government-focused defense and intelligence contractor that delivers mission-critical digital infrastructure, AI/ML, cyber, cloud, and intelligence services to the U. S. Army and other government agencies. The company provides solutions across software development, DevSecOps, ISR integration, data science, logistics, language and human services, training, and operations & maintenance to enable secure communications, advanced analytics, and operational effectiveness for U. S. and allied forces.

📋 Description

• 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.

🎯 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. • Desirable but not required certifications include Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer – Professional, or Google Cloud Professional Cloud DevOps Engineer.