1901 Group at Leidos currently has an opening for a Senior Kubernetes/ Container/ Containerization focused DevOps Engineer to support our Blacksburg Virginia Enterprise IT Operations Center. This is a great opportunity to work with an elite cross functional team of Developers, Unix/Linux, Middleware, and Cloud Operations professionals. This position will support both internal and customer facing projects involving, but not limited to, 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 customer environments.
Primary Responsibilities
In this Role you will:
- After your initial onboarding and acclimation to the team you will be training, both independently and with the team, to gain knowledge about 1901 cloud CI/CD designs and process approach.
- Working in an Agile process to plan your work into sprints and participate in daily scrum meetings.
- Assisting with cloud development pipeline designs, implementation plans, operational documentation, and continual improvement of cloud service implementations and designs.
- Evaluate and recommend potential improvements for inclusion into customer environments.
- Work with teams across 1901 Group and customers to understand Infrastructure as Code (IaC) requirements for upcoming projects.
- Develop IaC and automation capabilities for use across customer environments.
- Design and implement cloud-based deployment solutions for enterprise applications.
- Improve and troubleshoot existing container orchestration environments, primarily OpenShift.
- Assist with implementing and improving pipeline processes including, dev/test/prod builds/releases.
- Assist with git process flows, gitops, and continuous improvement of our git approach.
Basic Qualifications
- Bachelor’s degree and 8 years of experience or Master’s degree with 6 years of relevant experience, relevant experience will be considered in lieu of degree.
- Ability to obtain a obtain and maintain a Public Trust Clearance, or greater.
- Proficiency in container technologies such as Docker.
- Experience with container orchestration tools like Kubernetes.
- Experience with cloud-first, AWS/Azure native architectures and cloud PaaS & SaaS services.
- Proficient with Python or equivalent programming language.
- Experience with building and managing CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, Tekton).
- Strong background in Linux system administration, especially Red Hat Enterprise Linux (RHEL)
- Must be committed to adopting and adhering to best practices.
- Strong analytical and problem-solving skills.
- Ability to collaborate and work effectively in a team environment.
- 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 8570 certification [(IAT Level II) CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, SSCP] within 3 months of hire date.
Preferred Qualifications
- Relevant certifications, such as Red Hat Certified Specialist in OpenShift Administration, Red Hat Certified Engineer (RHCE).
- Experienced with Red Hat OpenShift, including setup, configuration, and administration.
- Kubernetes Certifications (CKA, CKAD)
- DoD secret clearance.
- 8570 Level II Security+ CE certification.
Original Posting Date:
2024-09-20
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:
Pay Range $101,400.00 - $183,300.00
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.