Machine Learning Software Engineer

Machine Learning Software Engineer

The Opportunity:

Everyone is trying to “harness the cloud,” but not everyone knows how. As a cloud computing infrastructure architect, you know how to take advantage of cloud capabilities. On our team of experienced professionals, you’ll use cutting-edge enterprise cloud platforms to support your clients as they modernize their IT infrastructure and meet their most challenging missions. In addition, you will have to opportunity to support a development team to build a system that will have a positive impact.

Efficient software development and machine learning (ML) teams make the most of their time by limiting the activities that take developers away from writing their code. That’s why we need you, an ML Cloud and DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of our Agile developers creating AI products.

On our team, you’ll help streamline our software and ML development life cycle from requirements to monitoring in production. You’ll incorporate open-source tools, automation, and cloud resources to cut down on tedious, boring tasks, and free up the team’s developers to do what they do best – innovate. You’ll work with the team to implement continuous integration and continuous delivery (CI/CD) to limit manual testing and troubleshooting.

This is an opportunity to build your experience in Cloud-Native Technologies, Infrastructure-as-Code, Pipelines, and Kubernetes while developing products that will support our agile teams to move faster and deliver more to those on the front lines. Build your experience with the software development life cycle on a team that works together to make the best software solutions. Join our team as we build tools to transform the future.

Join us. The world can’t wait.

You Have:  

• 3+ years of experience in a dashboard development, data science, MLOps, DevOps, software engineering, or application development role

• Experience with natural language processing, deep learning, or computer vision project work

• Experience with developing in Java, Python, C++, or Go 

• Experience with scripting in Bash, PowerShell, Python, Groovy, or Ruby

• Knowledge of container networking, monitoring, and storage solutions

• Ability to develop infrastructure-as-code, including activities around the automated server or network configurations, large-scale software deployments, or monitoring and testing, including CI/CD

• Top Secret clearance  

• Bachelor’s degree

Nice If You Have:  ​

• 2+ years of experience with container tools, including Docker, Kubernetes, or Rancher

• 2+ years of experience deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure

• Experience with Authority to Operate (ATO) processes for DoD operations

• Experience using or migrating CI/CD pipeline solutions or tools, including GitLab

• Experience with system integration using a variety of protocols, including JSON, REST, and XML

• Knowledge of cloud and virtualization-based technologies, including Docker, Azure, or Amazon Web Services (AWS)

• Knowledge of Linux or UNIX administration and automation, and foundational system administration principles

• Knowledge of classified environment processes and protocols

• Kubernetes Certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance required.

Create Your Career:

Grow With Us
Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. 

A Place Where You Belong
Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportu