**This position is contingent upon award of contract**
SOSi is seeking a DevOps 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:
- Create and maintain environment-specific Kubernetes configuration packages (e.g., Helm values files, YAML manifests) that incorporate STIG-aligned hardening and RBAC policy enforcement per IL environment.
- Implement and manage secrets injection strategies using FedRAMP-compliant tools (e.g., AWS Secrets Manager, Azure Key Vault), ensuring compatibility with automated deployment pipelines.
- Integrate CI/CD pipelines to enable secure, automated deployment and rollback of ArcGIS components and related services, supporting ongoing agility and compliance across environments.
- Coordinate with Kubernetes and Data Layer Engineers to ensure version control, pipeline integrity, and integration testing for all containerized services deployed under WO-003.
- Coordinate with the WO-009 infrastructure team to provide estimated cloud resource usage profiles for Kubernetes-based deployments in IL2, IL4, and IL5 environments.
- Supply container and workload specifications to the WO-009 infrastructure team to support provisioning, tagging, and prepay or reservation planning
- Implement resource tagging in alignment with program-wide cloud governance policy and reconcile actual usage against estimates provided by WO-009.
- Support cost optimization efforts led by WO-009 by adjusting workloads and scaling strategies in response to performance and utilization feedback.
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or five (5) years of equivalent experience in DevOps engineering.
- Knowledge and capability to design, implement, and optimize CI/CD pipelines, automate infrastructure management, and ensure scalable deployments across cloud and on-premises environments.
- Proficient in container orchestration (Kubernetes, Docker), infrastructure as code (Terraform, Ansible), and continuous integration tools (Jenkins, GitLab CI/CD, Azure DevOps, or AWS CodePipeline).
- Strong understanding of cloud environments (AWS, Azure, GCP), security best practices, and monitoring/logging solutions (Prometheus, Grafana, ELK stack) is required.
- Experience in deploying and managing Kubernetes clusters, automating cloud infrastructure, and implementing secure, high-availability CI/CD pipelines.
- Experience with microservices architecture