Python Kubernetes Software Engineer Data Jobs in Springfield, OH

Job Number: R0242682

The Opportunity

Bring your full‑stack engineering expertise to help modernize GEOINT and national security mission systems. As a midlevel engineer, you'll build cloud‑native microservices, develop scalable frontend interfaces, and support the transformation of legacy analytical pipelines into modern, secure architectures that directly empower analysts in exploitation, tracking, visualization, and reporting workflows. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user‑centric tools that accelerate mission outcomes.

What You'll Work On

• Implement end‑to‑end features across modern frontend frameworks such as React, Angular, or Vue and backend microservices such as Python, Java, or Node.js.

• Build, enhance, and integrate API frameworks, such as FastAPI, RESTful, gRPC, or GraphQL APIs.

• Develop scalable services using containerized workloads, including Docker, orchestrated with Kubernetes.

• Support cloud deployments such as AWS or Azure, including IaC using Terraform or CloudFormation.

• Contribute to modern DevSecOps practices, including automated testing, code quality enforcement, GitLab, GitHub, CI/CD pipelines, and security scanning.

• Participate in Agile sprint planning, backlog refinement, peer code reviews, and user‑focused design discussions.

• Integrate data, ML‑enabled, or analytic pipeline components into mission workflows, working closely with data engineers and analysts.

• Troubleshoot issues across the full stack and contribute to team‑wide engineering improvements.

You Have

• 4+ years of experience with full‑stack software development.

• Experience with modern object‑oriented languages such as Python, C++, or Java.

• Experience with at least one frontend framework such as React, Angular, or Vue or with HTML, CSS, and JavaScript.

• Experience developing and consuming FastAPI, REST, gRPC, or GraphQL APIs.

• Experience with Docker and Kubernetes.

• Experience deploying to AWS or Azure cloud environments.

• Experience with GitLab, GitHub, or Jenkins CI/CD automation.

• Experience working with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite.

• Active TS/SCI clearance; willingness to take a polygraph exam.

• Bachelor's degree in a STEM field.

Nice If You Have

• Experience with Agile methodology, extreme programming, software engineering, product management, and software products.

• Experience with microservices patterns, event‑driven architectures, or message queues including Kafka, SNS, or SQS.

• Experience integrating synthetic data, analytic models, or ML pipelines into applications.

• Experience with Elasticsearch, OpenSearch, or distributed search systems.

• Experience with user‑centered design or reusable component libraries.

• Experience with AI‑augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode.

• Master's degree in Computer Science or Software Engineering.

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

Salary range: $69,300.00 to $158,000.00 (annualized USD). This posting will close within 90 days from the posting date.

Work Model

• 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.