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Job Description

Responsibilities

  • As a DevOps engineer, contribute to shaping, operating, and securing a container platform that aligns with client requirements and cloud capabilities.
  • Develop container management software to address some of our clients toughest challenges.
  • In a senior platform DevOps capacity, apply technical skills to drive mission-forward change.
  • Maintain and improve your skills with the latest cloud technologies while pursuing enhancements to the client environment using current container software and seamless orchestration.
  • Leverage your DevOps platform experience to inform strategy and design while ensuring standards are met throughout the containerization process.
  • Recommend resources that assist the client in managing and securely adopting containers.
  • Continue strengthening DevOps capabilities while supporting the development of critical cloud platforms.
  • Collaborate to apply cloud platform technology in ways that support beneficial outcomes for clients.

Requirements

  • Four or more years of experience developing tools and processes to mature DevOps or DevSecOps by automating builds, regression testing, monitoring, and releasing across environments.
  • Four or more years of experience troubleshooting, triaging, and resolving CI/CD pipeline failures or performance slowdowns.
  • Two or more years of production Kubernetes experience, including ECK and AWS GovCloud.
  • Two or more years of cybersecurity fundamentals in infrastructure, platform, or security operations contexts (SIEM, vulnerability management, or incident response).
  • Experience with DoD cloud and cybersecurity environments.
  • Experience developing enterprise cloud-native solutions.
  • Experience developing, managing, and securing containers.
  • Experience working with application development teams across the software development lifecycle to solve complex problems in a collaborative setting.
  • Secret clearance is required.
  • Bachelor's degree, or eight or more years of DevOps experience in lieu of a degree.

Technologies

  • Kubernetes
  • ECK
  • AWS
  • GovCloud
  • Docker
  • Jenkins
  • Azure
  • Python
  • Linux shell scripting
  • SIEM

Benefits

  • Health benefits
  • Life insurance
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care

Nice to Have

  • Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, AWS, Jenkins, or Azure
  • Experience creating and improving continuous automation across multiple technical stacks
  • Experience building and improving continuous deployment tools on Kubernetes
  • Experience triaging and resolving issues with open source and commercial tools in public cloud environments
  • Knowledge of scripting languages such as Python or Linux shell scripting
  • Master's degree

Work Model

  • Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with direct collaboration with colleagues and clients as required by the role.
  • Hybrid: Occasional in-person collaboration at Booz Allen facilities, in alignment with leadership expectations and role needs, with possible visits to customer facilities.
  • Remote: Some flexibility may be available, but onsite presence is expected as necessary for the position.

Clearance

  • Applicants selected will undergo a security review and may need to meet eligibility requirements for access to classified information; a Secret clearance is required.

Identity Statement

As part of the hiring process, you may be asked to complete an identity verification process that uses biometrics and artificial intelligence to verify authenticity and protect against fraud. Interviews and assessments may require you to be on camera, and there may be a request to capture a photograph for identity verification purposes.

Candidate AI Usage Policy

AI tools are used in Booz Allen's work, but candidate responses during interviews must be based on your own skills and knowledge unless explicit permission is provided for AI assistance during the process.

Compensation

The projected compensation range for this role is USD 77,600 to 176,000 annually, with final salary determined by location, education, experience, skills, competencies, and contract-specific factors.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by law.

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