← Back to jobs
Full-time

DevOps Engineer

$62K/yr – $141K/yr

San Antonio, TXIT & TechnologyPosted 17d ago

You'll complete your application on the employer's website.

Role overview

Job type

Full-time

Salary

$62K/yr – $141K/yr

Posted

17 days ago

Job description

Booz Allen Hamilton supports the United States Air Force and is seeking a DevOps Engineer to work in a cloud and software engineering role. The position operates and optimizes cloud platforms, automates infrastructure, develops CI/CD pipelines, and supports teams deploying and maintaining cloud-native solutions.

Responsibilities

You’ll work in a Cloud/Software Engineering role, working with teams to leverage and expand your client’s capabilities

You should thrive in a fast-paced environment, be able to translate customer needs, and assist others in migration and solutioning of mission critical capabilities

You’ll be responsible for working with current and new software development teams - understanding their architecture and development environment tooling to develop onboarding paths to your client’s platform

As a DevOps Engineer, you will operate and optimize cloud platforms, automate infrastructure, and support mission focused teams as they deploy, scale, and maintain cloud-native solutions

You’ll strengthen your technical skills while helping clients achieve operational excellence across their cloud ecosystems

Work in a dynamic, large team environment supporting a large–scale government program, using next–gen tools, standards, and processes, including Kubernetes, Terraform/Terragrunt, and Python

Design and develop automation pipelines to drive rapid delivery of functionality using CI/CD tools such as GitLab

Use state of the art diagnostic tools and monitoring systems to provide analysis on Web application errors, including the identification and investigation of application behavior through code and log analysis and business logic

Preferred

Experience with Linux or Windows Server

Experience with network fundamentals

Experience with automation tools such as GitLab and GitHub

Knowledge of Generative AI best practices, prompt engineering, agentic, and agentic workflows

Secret clearance

Bachelor's degree in CS, Computer Engineering, Mathematics, Statistics, or Engineering

Linux

Windows Server

Network Fundamentals

Generative AI Best Practices

Prompt Engineering

Agentic Workflows

Computer Science

Computer Engineering

Mathematics

Statistics

Benefits

Health benefits for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Life benefits for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Disability benefits for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Financial benefits for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Retirement benefits for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Paid leave for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Professional development for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Tuition assistance for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Work-life programs for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Dependent care for full-time and part-time employees working at least 20 hours a week on a regular basis, subject to eligibility

Recognition awards for exceptional performance and superior demonstration of Booz Allen’s values

Company

Advanced technology consulting for civil, defense, and national security missions

Mclean, Virginia, USA

http://www.boozallen.com/

Founded in 1914

10001+ employees

Qualifications

1+ years of experience with operating cloud environments, including AWS, Azure, or GCP

Experience with container technologies, including Docker or Kubernetes

Experience with scripting for automation, including Python, bash, or PowerShell

Experience implementing and maintaining CICD pipelines with GitHub or GitLab

Experience implementing Infrastructure or Configuration as code, including Ansible, Terraform, or CloudFormation

Ability to troubleshoot distributed systems and cloud-native applications

Ability to obtain a Secret clearance

Bachelor's degree

Ability to obtain AWS Solutions Architect Associate, AWS Certified CloudOps, or Microsoft Azure Solutions Architect Expert Certification within 60 days of hire date

Ability to obtain DoD 8570 IAT Level II or IAT Level III Certification within 30 days of hire date

Experience with Linux or Windows Server

Experience with network fundamentals

Experience with automation tools such as GitLab and GitHub

Knowledge of Generative AI best practices, prompt engineering, agentic, and agentic workflows

Secret clearance

Bachelor's degree in CS, Computer Engineering, Mathematics, Statistics, or Engineering

Required skills

Cloud Computing AWS, Cloud Computing Azure, Cloud Computing, Cloud Computing GCP, Docker, Kubernetes, Python, Bash, PowerShell, CI/CD Pipelines GitHub, CI/CD Pipelines GitLab, Infrastructure as Code Ansible, Infrastructure as Code Terraform, Infrastructure as Code, Infrastructure as Code CloudFormation, Distributed Systems Troubleshooting, Linux, Windows Server

Preferred skills

Experience with Linux or Windows Server, Experience with network fundamentals, Experience with automation tools such as GitLab and GitHub, Secret clearance

Experience

1+ years

Interested in this role?

Apply directly on the employer's website — it only takes a few minutes.

Similar vacancies

Other roles in San Antonio, TX or IT & Technology

Seattle, New York, San FranciscoIT & TechnologyPosted 30+ Days Ago

As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…