AI/Data Engineer

AI/Data Engineer Date Posted:

17 May 2026

Closing Date:

June 16, 2026

Recruiter:

Lockheed Martin Location:

King of Prussia, Pennsylvania Salary:

On Application Job Type & Industry:

AI, Data Engineering Contract Type:

Permanent Job Reference:

2775102653-2 Apply for this job now

Job Description Job Description:

We are seeking a highly skilled Infrastructure Engineer to design, curate and implement software as code over Kubernetes that enable rapid, reliable delivery of software services. The ideal candidate will have deep expertise in Images, Docker, Kubernetes, HELM, GitOps workflows, GitLab CI/CD, and containerization technologies. You will work closely with development, security, and operations teams to create and automate infrastructure, improve reliability, and accelerate time to market.

Key Responsibilities:

• Implement and maintain GitOps practices using GitLab (or compatible tools) to drive declarative infrastructure management and automated roll-outs.
• Build, manage, and optimize container runtime environments (Docker, OCI-compatible runtimes) and associated networking, storage, and service-mesh components.
• Develop and maintain CI/CD pipelines in GitLab for building, testing, and promoting container images and Helm/Kustomize based manifests.
• Automate provisioning and configuration of underlying infrastructure (VMs, storage, load balancers) using IaC tools (Terraform, Ansible, etc.).
• Monitor cluster health, performance, and security; implement observability stacks (Prometheus, Grafana, Loki) and incident response processes.
• Collaborate with security teams to enforce pod security standards, vulnerability scanning, and compliance (eg, CIS Benchmarks, NIST).
• Provide technical guidance and mentorship to teammates on best practices for Kubernetes, GitOps, and container lifecycle management.
• Document architecture, runbooks, and standard operating procedures; contribute to knowledge-base articles.

Qualifications:

• GitOps:

  Proven experience implementing GitOps workflows (GitLab CI/CD, Flux, Argo CD, Palette Edge or similar).

• Containerization:

  Strong proficiency with Docker/OCI container creation, image registries, and multi-stage builds.

• CI/CD:

  Deep knowledge of GitLab pipelines, runners, and integration with Kubernetes (Helm).

• Scripting:

  Advanced Scripting in Bash, Python.

• Networking & Security:

  Understanding of service mesh (Istio), network policies, RBAC, and secrets management.

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Collaboration:

Excellent communication. problem solving and teamwork skills; ability to work in cross-functional Agile environments.