Operations Facilitator

Operations Facilitator

The Opportunity:

Engineering to make a system more resilient and efficient frees up time and money to build more capabilities. Whether you come from a background in network engineering, systems administration, or software development, if you have a passion for making systems better, we need you!

As a site reliability engineer (SRE) on our team, you’ll help the Intelligence Community develop more robust systems by building a resilient infrastructure. You’ll build in redundancy, implement monitoring tools, and automate wherever possible. You’ll reduce toil by scripting routine tasks and automating self-repair. This is your chance to further your skills in cloud infrastructure and technologies while continuing to grow your SRE experience.

Work with us as we help enhance our security posture to protect national security.

Join us. The world can’t wait.

You Have:

• 2 years of experience with RHEL or Linux systems administration and various Linux-based web stacks
• 2 years of experience deploying applications in cloud or containerized environments
• 2 years of experience working with cloud service offerings such as compute, storage, databases, DNS, load balancers, and identity and access management
• Experience using containerization tools and technologies such as Docker, Kubernetes or Helm
• Experience with CI/CD pipelines, observability tools, and infrastructure-as-code, including Terraform and Ansible
• Experience in code versioning with Git, including GitLab or Bitbucket
• Experience working in a direct customer support role, utilizing ticketing systems such as Jira or ServiceNow
• TS/SCI clearance with a polygraph
• HS diploma or GED
• Ability to obtain a Security CE, SSCP, CCNA-Security, or GSEC Certification within 6 months of start date

Nice If You Have:

• Experience in scripting or programming, including in Python, Go, and Bash
• Experience with ITIL Service Management principles
• Experience with SSO, including Keycloak, Okta, or similar
• Experience with Big Data platforms or Cross Domain Solutions
• Experience with AI/ML tools and techniques
• Knowledge of Public Key Infrastructure (PKI)
• Bachelor's degree in a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.