Leidos
DevOps Engineer
Leidos, Saint Louis, Missouri, United States, 63146
DescriptionJoin our team at Leidos Spatial Solutions Division and be part of a dynamic environment dedicated to advancing critical Aeronautical systems. We're seeking a Senior DevOps Engineer with expertise in cloud migration and modernization, focusing on the meticulous creation and management of Docker containers for cutting-edge cloud-based applications.Primary ResponsibilitiesLead 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 NGA CI/CD CORE 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 QualificationsBachelor's Degree in Computer Science, Software Engineering, Information Systems, Information Technology, and 8+ years of experience.4+ years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).TS/SCI RequiredProficiency 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.Cross domain deployment strategies and automated deployment processes.Hands-on experience with DevOps methodologies, CI/CD pipelines, and cloud optimization, specifically involving Docker containers within the OpenShift environment.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. CitizenshipPreferred QualificationsProficiency 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.Original Posting Date:
2024-09-25While 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:
Pay Range $101,400.00 - $183,300.00The 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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2024-09-25While 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:
Pay Range $101,400.00 - $183,300.00The 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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