Jobs
Required skills
AWS
Docker
Kubernetes
Machine Learning
Cloud Engineer
The Opportunity:
As the world transitions more to cloud-based computing, machine learning, and artificial intelligence, there are more opportunities to migrate local, disparate applications into the cloud. As a Cloud Engineer, you know that security, availability and deployment velocity improve as more services migrate into the cloud. We need an experienced Cloud Engineer like you to help us, and our clients, to find answers in their data to impact important missions.
As a Cloud Engineer on our team, you'll help design, implement, and strategize on some of the most mission-driven projects in the industry. Working specifically with secure AWS environments operating at IL-4/5, you'll support the design, deployment, and sustainment of infrastructure that ensures new capabilities are delivered securely, compliantly, and efficiently into regulated DoD environments. You'll design, deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team in a fast-paced, agile environment. You'll serve as a key liaison between our application engineering teams and our deployment organization, translating technical requirements into production-ready infrastructure while maintaining compliance with RMF and ATO requirements. You'll help develop and maintain scalable data platforms, optimize the organization's data platform deployments, and support our team in developing custom ETL and ELT workflows to address critical analytical questions, including emerging AI-enabled workflows.
What You’ll Work On:
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Design, deploy, and maintain AWS infrastructure supporting IL-4/5 workloads.
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Coordinate production releases and infrastructure changes with enterprise deployment teams.
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Configure and manage containerized services using Docker or Kubernetes.
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Build and enhance CI/CD pipelines with integrated security tooling.
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Enforce security controls and remediate vulnerabilities to maintain compliance.
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Support ATO documentation, technical controls implementation, and continuous monitoring requirements.
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Contribute to secure AI-enabled workflow development by helping define security guardrails and repeatable deployment patterns.
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Identify infrastructure and process improvements to enhance reliability and standardization across environments.
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Execute technical tasks independently while escalating risks, blockers, and compliance concerns as appropriate.
Join us. The world can’t wait.
You Have:
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3+ years of experience designing, deploying, and managing AWS cloud environments
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3+ years of experience deploying applications into IL-4 or higher secure environments
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3+ years of experience with Docker or Kubernetes in cloud environments
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3+ years of experience integrating security scan tools such as SAST, dependency scanning, or container scanning into DevOps pipelines
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3+ years of experience implementing and maintaining security controls in regulated environments
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1+ years of experience with CI/CD pipelines and infrastructure automation
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Knowledge of DoD accreditation processes, including RMF and ATO workflows
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Ability to obtain a Secret clearance
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Bachelor's degree
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CompTIA Security+ Certification
Nice If You Have:
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Experience serving as a technical liaison between engineering and enterprise deployment teams
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Experience supporting IL-6 environments
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Experience with end-to-end AWS Dev Sec Ops processes
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Experience supporting systems requiring formal accreditation and continuous monitoring of DoD Systems
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Experience in the development of secure AI-enabled workflows, defining and implementing appropriate security controls, guardrails, and compliance processes
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Knowledge of infrastructure as code, including Terraform, CloudFormation, or CDK
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $69,400.00 to $158,000.00 (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 application process, 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.
Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.
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About Booz Allen Hamilton

Booz Allen Hamilton
PublicSpecializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
$4.2B
Valuation
Reviews
3.5
5 reviews
Work-life balance
2.5
Compensation
3.0
Culture
2.8
Career
2.5
Management
2.0
35%
Recommend to a friend
Pros
Great reputation in federal sector
Hybrid work options available
Established teams and processes
Cons
Poor hiring and recruitment process
Job security concerns with contract-based work
Work-life balance issues
Salary Ranges
34 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Data Engineer
1 reports
$149,500
total per year
Base
$115,000
Stock
-
Bonus
-
$149,500
$149,500
Interview experience
7 interviews
Difficulty
2.7
/ 5
Duration
21-35 weeks
Offer rate
43%
Experience
Positive 29%
Neutral 28%
Negative 43%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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