Join Our Team as a Machine Learning Software Engineer at Booz Allen Hamilton

The Opportunity: Are you ready to harness the cloud and lead in modernizing IT infrastructures using cutting-edge enterprise cloud platforms? Booz Allen Hamilton is seeking a skilled Machine Learning (ML) Cloud and DevOps Engineer to enhance our software development teams. This role provides an opportunity to work on a dynamic team, streamline the software development life cycle, and contribute to projects that produce tangible, positive outcomes.

What You Will Do:

As a Machine Learning Software Engineer, you will play a critical role in implementing efficient operations that emphasize automation and optimization of the software development process. Your responsibilities will include:

• Developing and deploying infrastructure-as-code on various platforms, focusing on automation of server and network configurations, large-scale software deployments, and intensive monitoring and testing, including continuous integration (CI) and continuous delivery (CD).
• Utilizing open-source tools and cloud resources to minimize redundant tasks, thus freeing up developers to focus on innovation.
• Supporting the development of software solutions that utilize deep learning and computer vision technologies.
• Collaborating with Agile development teams creating AI products, ensuring rapid and reliable delivery of high-quality software tools.

What You Need to Succeed:

Your qualifications will include:

• A minimum of 3 years’ experience in an infrastructure, MLOps, DevOps, software engineering, or application development role.
• Proficiency in programming languages like Java, Python, C++, or Go and scripting with Bash, PowerShell, Python, Groovy, or Ruby.
• Advanced knowledge in container networking, monitoring, and storage solutions with hands-on experience in Docker, Kubernetes, or similar tools.
• A Bachelor’s degree in a related field and eligibility for a Secret security clearance.

Preferred Qualifications:

• Additional experience in deploying Kubernetes in cloud platforms like GCP, AWS, or Azure.
• Experience with continuous integration (CI) and continuous delivery (CD) pipeline solutions such as GitLab.
• Knowledge of system integration using protocols like JSON, REST, and XML.

Why Join Booz Allen Hamilton?

Booz Allen Hamilton values your growth and provides various professional development opportunities, including upskilling programs, tuition reimbursement, and mentoring. Embrace a workplace that supports your well-being with our comprehensive benefits package, flexible schedules, and remote work options.

Your Candidate Journey with Us

From application to onboarding, we make every step clear and meaningful. Our compensation ranges from $75,600 to $172,000 annually, depending on several factors, including your skills and experience levels.

How to Apply:

Ready to lead the future of technology and development with Booz Allen Hamilton? We can’t wait to see what you will bring to our team. This position will close 90 days from the Posting Date. Apply today to begin your journey as a pivotal part of our team!

EEO Commitment

Booz Allen Hamilton is an equal employment opportunity/affirmative action employer dedicated to promoting diversity and inclusion in the workplace. We welcome all applicants regardless of race, color, religion, sex, national origin, age, disability, or other protected status.

Apply Now to Become a Pioneering Machine Learning Software Engineer!