DevSecOps & Site Reliability Engineer

About

On behalf of our Federal Contracting client, ClearanceJobs Talent Solutions Team is seeking a DevSecOps & Site Reliability Engineer to keep our client’s production deployed applications reliable, observable, and continuously improving in the field.

You will own the full lifecycle of platform operations: building resilient deployment pipelines, instrumenting systems with deep telemetry, responding to incidents, and shepherding new releases from developer commits through regression testing and into production. You will sit alongside GEOINT analysts, and engineers, and your work will directly determine whether warfighters and intelligence professionals get the answers they need, when they need them.

An active Top Secret security clearance with SCI eligibility is required (active TS/SCI with CI Poly is preferred). Work is performed 100% on-site in Springfield, VA. There is a 24x7 on-call rotation associated with this position and potential for CONUS/OCONUS travel for deployments, exercises, and customer engagements.

Responsibilities

• Build and operate resilient platforms.
• Run distributed deployments.
• Observe and troubleshoot.
• Deliver releases under pressure.
• Test, deploy, and scale services.
• Integrate identity and access.
• Run the help desk loop.
• Collaborate across the mission.
• Harden and secure.
• Support 24/7 worldwide users.

Required Education / Experience

• 5+ years of professional experience in DevOps, SRE, DevSecOps, or production O&M roles supporting distributed software systems.
• Active TS/SCI clearance
• Container platforms: Strong hands-on experience with OpenShift and Kubernetes, workloads, operators, ingress, networking, storage, and upgrades.
• Cloud: Practical AWS experience (EC2, EKS, S3, IAM, VPC, CloudWatch); experience working in GovCloudstyle restricted environments.
• Distributed deployment & O&M: Demonstrated ownership of production deployments, configuration management, patching, and lifecycle operations for distributed systems.
• Observability: Production-grade Prometheus and Grafana experience, exporters, recording rules, alerting, dashboards, and SLO-driven operations.
• AIOps: Familiarity with anomaly detection, log/metric correlation, and automated remediation patterns to reduce MTTR.
• Containers & CI/CD: Fluency with Docker, image hardening, and CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions, or equivalent).
• Identity management: Working familiarity with GEOAxIS, Microsoft Entra ID, PKI/CAC, SAML, and OIDC integration patterns.
• Ticketing & incident management: Experience operating a help desk / incident workflow.
• Linux & scripting: Strong Linux administration skills and proficiency in Bash plus at least one of Python, Go, or equivalent.

Preferred Qualifications

• Direct experience supporting GEOINT, IMINT, or all-source intelligence production environments.
• Experience with edge or tactical deployments operating under DIL/DDIL constraints.
• Knowledge of ICD 503, RMF, and ATO sustainment processes.
• Hands-on with Kafka, OpenSearch, Elasticsearch, or similar distributed data platforms.
• Experience deploying or operating ML/AI inference workloads, including GPU-accelerated services.
• Infrastructure-as-Code: Terraform, Ansible, or Helm at production scale.

Work Environment

• On-site work at a customer facility is required.
• Participation in a 24/7 on-call rotation.
• Occasional travel to additional CONUS and OCONUS sites for deployments, exercises, and customer engagements.
• Work is performed on classified networks; standard security and handling protocols apply.