Leidos
DevSecOps Engineer – Intelligent Platforms & Agents
6314 Remote/Teleworker US · Remote (US) · Mid
- Discipline
- Systems
- Industry
- Defense
Spec sheet
Automatically summarized from the employer’s posting. Check the original description below for full requirements.
DevSecOps Engineer for mission-critical platforms with focus on CI/CD, Kubernetes hardening, and security compliance in DoD/air-gapped environments; strong IaC and automation required; US-based role with possible remote work.
$107,900–$195,050 / year · Day shift · 4+ years · BS degree
Required
- CI/CD pipelines
- Kubernetes administration
- DISA STIG compliance
- Terraform
- Helm
- CVE scanning
- SBOM generation
- Python or Bash
Preferred
- air-gapped environments
- ATO automation
- Security+ or IAT Level II
- Vault/Sealed Secrets
- Prometheus/Grafana
- CKA
- as-code approaches
Benefits
- medical
- 401k
- PTO
Employer description
Position Overview
At Leidos, we are advancing mission-critical platforms that simulate, interact with, and act on complex technical and business environments. These platforms enable teams to engage with network operations, automate business processes, and gain insight through intent-driven and agent-based systems.
The team operates with a strong belief in “everything as code,” using version-controlled artifacts and automation to manage not only infrastructure and software, but also deployment pipelines, security controls, compliance artifacts, and operational workflows.
The DevSecOps Engineer is a hands-on practitioner responsible for building, automating, and sustaining the delivery infrastructure that enables mission-critical software to move fast without compromising compliance. You will actively build and maintain CI/CD pipelines, harden and manage Kubernetes environments, automate security compliance, and leverage AI as a force multiplier across the entire delivery lifecycle. When team capacity demands it, you will contribute directly to feature development — bringing a security-first perspective to application code.
Primary Responsibilities
Design, implement, and maintain automated CI/CD pipelines that carry code from development through security scanning, compliance validation, and deployment into Navy and DoD environmentsBuild and maintain hardened Kubernetes environments aligned to DISA STIG requirements across cloud and restricted network deployment contextsAutomate security artifact generation including SBOM production, CVE scanning, and continuous compliance validationDrive adoption of Infrastructure as Code, GitOps practices, and controls-as-code across the teamLeverage AI tooling to accelerate pipeline development, vulnerability triage, compliance remediation, and operational documentationPartner closely with software engineers, systems engineers, and ISSEs to embed security and compliance requirements from the start of developmentMaintain and evolve deployment infrastructure across multiple secure environments, including cloud and air-gapped or intermittently connected contextsSupport ATO processes through automated evidence generation, documentation as code, and direct collaboration with the security teamEstablish and promote standards for pipeline design, container security, secrets management, and deployment consistencyContribute to feature development when team capacity requires, applying security-first development practices to application codeMaintain operational documentation including runbooks, deployment guides, and architecture diagrams as version-controlled artifacts
Required Skills and Experience
Must have and maintain a Secret security clearanceBS degree and 4+ years of professional DevSecOps or DevOps engineering experience, 8+ years of total relevant experience.Hands-on experience designing and maintaining CI/CD pipelines using GitLab CI; experience with additional pipeline tools a plusExperience with Kubernetes administration and hardening in DoD or compliance-driven environments — RKE2 or K3S experience strongly preferredExperience implementing DISA STIG compliance in containerized and Linux environments (RHEL or Rocky Linux)Proficiency with Infrastructure as Code tooling, particularly TerraformExperience with Helm chart authoring and Kubernetes deployment managementExperience with automated security scanning, SBOM generation, and CVE triage and remediationScripting proficiency in Python or Bash for pipeline and operational automationDemonstrated use of AI tooling to accelerate engineering workflowsBackground contributing to application feature development alongside infrastructure workAbility to operate independently and manage workload across competing priorities in a small, fast-moving team
Preferred Qualifications
Experience operating in air-gapped or disconnected network environmentsExperience supporting ATO through automation, documentation, and technical leadershipActive Security+ certification or equivalent IAT Level II certificationExperience with secrets management tooling such as Vault, Sealed Secrets, or SOPSFamiliarity with observability and monitoring tools such as Prometheus or GrafanaCertified Kubernetes Administrator (CKA) or willingness to obtain upon onboardingExperience applying “as code” approaches beyond infrastructure (e.g., configuration-as-code, policy-as-code, workflows-as-code, documentation-as-code)AppMod
SMIT
If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.
Original Posting:September 24, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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