DevOps Engineer

Description

The Integrated Solutions Division at Leidos is seeking a DevOps Engineer to provide mission critical system support to our customer. This role will work to develop and support IC enterprise products in an Agile SAFe environment. As a DevOps Engineer on this program, you will have the opportunity to build strong systems and software utilizing cloud capabilities and Agile experience to support a complex program. You will support the design, automation, and deployment of cloud infrastructure and applications. This challenging and dynamic position is located in Northern Virginia and will provide you with the opportunity to be part of something exciting with the ability to use your experience on this important, fast-paced, mission critical program. In return, Leidos will invest in you with a new enhanced leave plan and a generous 401k and these are just a few of the great benefits. This position requires a TS/SCI clearance with a poly. Ready to tackle your next challenge? Then we want you on our team!

Primary Responsibilities:

• Lead the Multi-cloud DevOps initiative, orchestrating AWS cloud environment operations, with a specific emphasis on Docker containerization and image creation.
• Architect, implement, and optimize Continuous Integration/Continuous Delivery (CI/CD) pipelines for new and existing programs, emphasizing Docker container strategies.
• Integrate and modernize programs into DevOps pipelines, ensuring seamless deployment of Dockerized applications.
• Manage and optimize PaaS frameworks and OpenShift environments, troubleshooting and maintaining peak performance of Docker containers.
• Implement GitLab automated testing and deployment strategies specifically designed for Dockerized applications across the CI/CD pipeline.
• Develop user-friendly dashboards for business intelligence, displaying system usage, specifications, and cost estimations related to Docker containerization.
• Conduct data analysis and reporting, forecasting application volumes, with a special focus on Docker container performance and resource utilization.

Basic Qualifications:

• Bachelor’s degree in computer science, Software Engineering, Information Systems, Information Technology, or equivalent experience.
• 8+ years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
• Proficiency in AWS/Cloud technologies, OpenShift, Kubernetes, and cloud-based architectures, with a strong emphasis on Docker containerization.
• Exceptional organizational skills and meticulous attention to detail, demonstrated through proficient adherence to Git workflow methodologies, commit-based practices, and adept utilization of rebase strategies.
• Hands-on experience with DevOps methodologies, CI/CD pipelines, and cloud optimization, specifically involving Docker containers.
• Familiarity with AWS services (S3 Buckets, EC2, etc.) and System Engineering documentation.
• Proficiency in team collaboration tools like Jira, Confluence, and Slack/RocketChat.
• U.S. Citizenship required; active TS/SCI with Polygraph

Preferred Qualifications:

• Cross domain experience working with unclassified and classified networks
• Experience with Multi cloud management
• Knowledge in complex application integration AWS certification
• Proficiency in Docker container strategies, automated testing, and monitoring.
• Expertise in Helm configurations, Docker file creation, and database instantiation specifically optimized for Docker containers.
• Proven track record in identifying and implementing process improvements within DevOps workflows, enhancing efficiency, and streamlining deployment pipelines.
• AWS Developer Associate certification

Original Posting Date:

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:

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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