The Mission Driver Enablement Center (MDEC) Infrastructure Operations Team at Leidos currently has an opening for an experienced Platform Engineer with DevOps proficiencies to support our Enterprise IT Operations Center. This is a great opportunity to work with an elite cross functional team of Developers, Unix/Linux Engineers, Middleware Engineers, DevOps, and Cloud Operations professionals. The selected candidate will operate on complex engineering efforts, influence technical direction, and help standardize Platform and DevOps practices across teams.

This role requires expertise in Kubernetes, GitOps, infrastructure-as-code, and DevOps deployment models. This position will support both internal and customer-facing projects involving, but not limited to, infrastructure platform management, application containerization, pipeline implementation and management, infrastructure as code development, automation development, and cloud migrations. Bring your own experience and work with our team to teach and learn while building, maintaining, and supporting our customers’ environments.

Primary Responsibilities

In this Role you will:

• Develop, configure, manage, and maintain the Kubernetes (Red Hat OpenShift) platform running in AWS, including cluster upgrades, patching, monitoring, capacity management, reporting, compliance management and platform troubleshooting. Collaborate and Coordinate with DevOps, Development, and Cloud Operations teams to address hosting compute, networking, and storage requirements and maintaining platform availability and performance.
• Partners with application development teams to deploy and operate containerized applications on OpenShift, providing guidance on deployment configurations, resource requirements, and CI/CD integration, and troubleshooting deployment and runtime issues while maintaining platform security and operational standards.

• Lead proactive, data-driven improvements to the Kubernetes (Red Hat OpenShift) platform and supporting AWS infrastructure, using observability data—including reporting, metrics, logs, and capacity trends—to identify reliability risks, performance bottlenecks, and optimization opportunities. Provide technical direction, prioritize and implement improvements, refine monitoring and alerting, and validate measurable gains in platform stability, resource utilization, and operational efficiency.
• Design, Configure, Implement and improve GitOps workflows, infrastructure as code, and CI/CD integrations to automate Platform configuration and support repeatable application deployments.

• Lead GitOps development pipeline designs, implementation plans, operational documentation, and continual improvement of containerization service implementations and designs
• Lead implementation and optimization of GitOps workflows.
• Work with teams, across Leidos and customers, to understand, develop, deploy, and configure Infrastructure as Code (IaC), GitOps, and DevOps requirements for existing and upcoming projects.
• Working in an Agile process to plan your work into sprints and participate in daily scrum meetings.
• Develop IaC and automation capabilities for use across customer environments.
• Design, Configure, and implement container-based deployment solutions for enterprise applications.
• Develop, Configure, and implement automation and tooling to improve reliability and operational efficiency.
• Improve and troubleshoot existing container orchestration environments, primarily OpenShift.
• Troubleshoot and resolve complex platform and deployment issues with minimal oversight.

Basic Qualifications:

• Requires BS and a minimum 4 years of prior relevant experience or Masters with a minimum 2 years of prior relevant experience, relevant experience will be considered in lieu of degree.
• Ability to obtain Public Trust Clearance, or greater.
• Participates in team On-call responsibilities.
• Experience with Red Hat OpenShift, including setup, configuration, and administration

• Proficient with Python or equivalent programming language.

• Experienced in building and managing CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, Tekton).
• Experienced in Agile teams and using tools such as Jira for project and work tracking.
• Proficiency in container technologies such as Docker.
• Demonstrated experience designing and implementing infrastructure-as-code solutions using Terraform and/or Ansible,
• Experienced with container orchestration tools like Kubernetes.

• Experienced with cloud-first, AWS/Azure native architectures and cloud PaaS & SaaS services.
• Must be committed to adopting and adhering to DevOps Industry best practices.
• Ability to collaborate and work effectively in a team environment.
• Mentor junior engineers and review technical implementations to ensure quality and adherence to best practices.
• Strong analytical and problem-solving skills.
• Must be able to effectively plan and prioritize tasking.
• Capability to mentor junior engineers and lead technical initiatives.
• Must be capable of performing high-quality work both independently, and with a team, in a fast-moving environment.

• Ability to interact positively, collaborate and communicate appropriately with team members.
• Obtain a baseline 8140 certification [IAT Level II) CCNA-Security, CySA+, GICSP, GSEC, Security+, CND, SSCP] within 3 months of hire date.

Preferred Qualifications:

• Kubernetes Certifications (CKA, CKAD)
• Experience standardizing engineering objectives across cloud and containerization platforms.
• Relevant certifications, such as Red Hat Certified Specialist in OpenShift Administration, Red Hat Certified Engineer (RHCE).
• DoD secret clearance and 8140 Level II Security+ certification.

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:

Pay Range:

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.