DevOps Engineer-WO-003

SOSi; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

SOSi is hiring a DevOps Engineer to support mission requirements for a scalable data ecosystem. The role focuses on integrating CI/CD pipelines, managing Kubernetes deployments, and ensuring cloud resource efficiency for a DoD customer.

The ideal candidate will have a Bachelor’s degree or equivalent experience and expertise in container orchestration and CI/CD tools. Responsibilities include implementing security measures and optimizing cloud usage.

Qualifications

• 5+ years of experience or a relevant Bachelor's degree in Computer Science or Information Technology.
• Proficient in container orchestration (Kubernetes, Docker) and CI/CD tools.
• Knowledge of cloud environments (AWS, Azure, GCP) and security best practices.

Responsibilities

• Create and maintain Kubernetes configuration packages with STIG-aligned hardening.
• Implement and manage secrets strategies with FedRAMP-compliant tools.
• Integrate CI/CD pipelines for secure, automated deployment and rollback.

Skills

Kubernetes

Docker

Terraform

Ansible

AWS

Azure

CI/CD

GitLab CI/CD

AWS CodePipeline

Education

Bachelor's degree in Computer Science or related field

Five years of equivalent experience in DevOps engineering

Tools

AWS Secrets Manager

Azure Key Vault

Prometheus

Grafana

ELK stack

Job description

**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.