Senior DevOps Engineer — Cloud, CI/CD & Automation

Leidos Inc; Columbia (MD); On-site; USD 154,000 - 278,000; Full time

Benefits offered by this job

Sign-on bonus

Competitive benefits

Paid time off

401K with company match

Job summary

Leidos is seeking a Senior DevOps Engineer to lead platform automation and cloud infrastructure efforts on the Intelligence Sector's Cyber & Analytics program. The role emphasizes Git-driven workflows, CI/CD pipelines, and scalable deployment strategies across Linux and Windows environments.

The ideal candidate will have advanced scripting, strong programming skills, and experience with Jenkins, Docker, Kubernetes, and security best practices.

Qualifications

• Bachelor's or higher degree in Engineering or CS with 12+ years of experience
• Fluent with Git and branching/merging strategies
• Strong Linux (RHEL) and Windows admin skills
• Experience with automated deployment using Jenkins/Bamboo, Docker, Kubernetes
• Experience with caching technologies, MySQL, and Elasticsearch
• Top Secret/SCI with Polygraph clearance
• Proficiency in Ruby, C/C++, Go, Python, or Java and OO concepts

Responsibilities

• Support the development lifecycle, including platform design, deployment, and debugging
• Build and maintain a release pipeline for fast, secure delivery to production
• Automate deployments across environments using scripting languages
• Configure sites/apps via Puppet and Ansible, maintain Confluence/Jira tooling
• Assist in designing/maintaining web service infrastructure and deployments
• Identify and implement process improvements through automation

Skills

Git version control

Linux system administration

Cloud infrastructure

Programming languages

Agile development

Security & PCI compliance

Education

Engineering or Computer Science degree

Tools

Jenkins

Docker

Kubernetes

Puppet

Ansible

Confluence/Jira

Job description

Leidos is seeking a Senior DevOps Engineer to lead platform automation and cloud infrastructure efforts on the Intelligence Sector's Cyber & Analytics program. The role emphasizes Git-driven workflows, CI/CD pipelines, and scalable deployment strategies across Linux and Windows environments.

The ideal candidate will have advanced scripting, strong programming skills, and experience with Jenkins, Docker, Kubernetes, and security best practices.