• Build and maintain CI/CD pipelines enabling continuous integration, testing, and delivery for L-CAP

• Manage Kubernetes clusters and container orchestration for platform service deployments

• Develop and maintain infrastructure-as-code (IaC) using Terraform for repeatable environments

• Integrate security scanning tools (SAST, DAST, SCA) into CI/CD pipelines for shift-left security

• Manage container images, registries, and deployment artifacts across environments

• Automate operational tasks including provisioning, scaling, and configuration management

• Manage development, test, and production environments ensuring consistency and reliability

• Implement monitoring, logging, and alerting solutions for platform observability

• Collaborate with development teams to improve build times, deployment frequency, and reliability

• Support incident response and troubleshooting of infrastructure and deployment issues

• Implement software supply chain security controls including SBOM generation, artifact signing, and dependency vulnerability scanning

• Manage artifact repositories and build provenance ensuring integrity of software deliverables throughout the pipeline

• Support developer platform capabilities including self-service environment provisioning, documentation, and developer experience improvements

• Embrace an AI-first engineering culture by actively adopting AI-assisted development tools, automation, and modern engineering practices that improve productivity, code quality, and delivery velocity.

Core Technical Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related discipline with 4 or more years of experience (or Master’s degree with 2 or more years of experience) or equivalent experience in lieu of degree.

• Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, or GitHub Actions)

• Hands-on experience with Kubernetes cluster management and container orchestration

• Proficiency with Terraform or equivalent infrastructure-as-code tools

• Strong experience with Docker and containerization technologies

• Solid Linux systems administration skills

• Proficiency in scripting languages (Bash, Python) for automation

• Experience with security scanning tools and DevSecOps practices

• Understanding of networking, load balancing, and service mesh concepts

• Familiarity with Agile/SAFe delivery and DevOps culture

• Experience with software supply chain security tools (Sigstore, SLSA, SBOM generation)

• Knowledge of artifact management systems and build provenance tracking

• Experience supporting internal developer platforms and developer experience initiatives

• Ability to obtain and maintain a Public Trust

• U.S. citizenship required

• Successful completion of background investigations as required by the government customer

Preferred / Desired Qualifications

• Experience with cloud platforms (AWS, Azure) including GovCloud environments

• Knowledge of FedRAMP or government compliance requirements

• Experience with monitoring tools (Prometheus, Grafana, ELK stack)

• Familiarity with service mesh technologies (Istio, Linkerd)

• Experience with GitOps workflows and tools (ArgoCD, Flux)

• Knowledge of secrets management and PKI (Vault, cert-manager)

• Experience in aviation, defense, or government program environments

• Experience with developer portal implementation (Backstage or equivalent) and platform documentation

• Desired but not required: Commutable distance (1 hour or less) to Gaithersburg, MD; Eagan, MN; or Egg Harbor Township, NJ.

Why Leidos?

You’ll work on systems where performance, precision, and reliability matter - every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure.

If you’re excited by solving complex problems in regulated, real-world environments - and using AI as a force multiplier rather than a shortcut - we’d like to talk.

ATMC