Machine Learning Software Engineer
USA, VA, Arlington (1550 Crystal Dr Suite 300) non-client
Full Time Clearance required USD 75K - 172K
Booz Allen Hamilton
Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.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 development team to build a system that will have a positive impact.
Efficient software development and machine learning 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, a Machine Learning (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 delivery 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 an infrastructure, MLOps, DevOps, software engineering, or application development role
Experience with deep learning or computer vision
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 continuous integration and continuous delivery (CI/CD)
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 with deploying Kubernetes in a platform or cloud offering, including GCP, AWS, or Azure
Experience with Authority to Operate (ATO) processes for DoD operations
Experience with using or migrating continuous integration (CI) and continuous delivery (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; Secret clearance is 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 opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.
Support Your Well-Being
Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.
Your Candidate Journey
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.
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 $75,600.00 to $172,000.00 (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.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.
EEO Commitment
We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.
Tags: Agile AWS Azure CI/CD Computer Vision Deep Learning DevOps Docker Engineering GCP GitLab Java JSON Kubernetes Linux Machine Learning MLOps Open Source Pipelines Python Ruby SDLC Security Testing XML
Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Medical leave Parental leave Wellness
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