The Opportunity: 

As a software sustainment engineer, you play a pivotal role in an application’s functional life. From troubleshooting to fixing bugs, you use your operations and maintenance skills to ensure that things run smoothly. We’re looking for an experienced software sustainment engineer like you to apply your knowledge to our clients’ challenges and their legacy enterprise systems. 

As a software sustainment engineer at Booz Allen, you’ll have an operational impact from day one. With a team of professionals, you’ll maintain applications and keep systems working. You and your team will use programming and scripting languages as you continuously enhance and maintain applications, troubleshoot any issues that arise operationally, and upgrade systems to meet security requirements. 

Most importantly, you’ll advise our clients on the best ways to improve and modernize existing systems. Work with us to help us secure crucial systems while watching them grow and modernize.

Join us. The world can’t wait.

You Have:

• 3+ years of experience developing and sustaining Python applications, including concurrent or multi-process systems, in an Agile environment
• Experience working with real-time or event-driven architectures such as queues, and producer or consumer pipelines, or distributed or microservices systems
• Experience with AWS cloud services, including S3, Batch, Lambda, or Step Functions
• Experience designing, debugging, and testing software components against design specifications, including unit or integration testing
• Knowledge of source control such as Git, and CI/CD pipelines in a DevSecOps environment
• Ability to lead design and code reviews, and collaborate cross-functionally
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree

Nice If You Have:

• Experience with AWS Batch, ECR, Step Functions, OpenSearch, SQS/SNS, or Kinesis
• Experience applying statistical or optimization methods in code such as similarity or distance scoring, probabilistic matching, or optimal assignment or matching algorithms
• Experience with Flask or another lightweight Python web framework
• Experience with JavaScript for web-based visualization or front-end development
• Experience with containerization such as Docker, and Infrastructure-as-Code such as CDK, Terraform, or CloudFormation
• Experience with scientific or geospatial Python libraries such as NumPy, SciPy, pandas, or pyproj, for processing scientific data
• Knowledge of shell scripting and build or deployment automation
• Ability to comprehend scientific algorithms and the theories backing them
• TS/SCI clearance with a polygraph
• Master's degree

Clearance: 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.