Associate Full Stack Machine Learning Engineer Jobs in Trotwood, OH

Lead the modernization of mission‑critical GEOINT systems by architecting and delivering cloud‑native, data‑driven applications and microservices. In this senior role, you will shape technical direction, oversee the integration of modern pipelines, and develop secure, scalable solutions that directly impact analysts performing high‑consequence missions.

You’ll serve as a technical leader who advises on architecture, mentors engineers, and drives engineering excellence across complex modernization efforts.

• Lead architecture, design, and implementation of full‑stack capabilities across cloud‑native microservices
• Own major system components and guide the technical roadmap for modernization and cloud adoption
• Develop distributed, secure, scalable backend services using Python, Java/Spring Boot, or similar technologies
• Architect and govern cloud deployments (AWS), including Kubernetes clusters, IaC, security controls, and reliability patterns
• Guide teams in DevSecOps execution, including GitLab CI/CD pipelines, automated testing, secure coding standards, and supply‑chain integrity
• Integrate large‑scale data, search, or analytic pipelines, such as Kafka, NiFi, Elasticsearch
• Partner with product owners, mission users, and cross‑functional engineering teams to define requirements and technical strategy
• Mentor and support mid‑level and junior engineers; perform code reviews and drive engineering best practices
• Evaluate emerging technologies such as (LLMs/AI, synthetic data, augmented development tools for mission applicability

• 6+ years of experience with full‑stack software engineering
• Experience leading technical delivery or architecture for cloud‑native or distributed systems
• Experience with Python, C++, Java, Spring Boot, or enterprise service stacks
• Experience with SQL or NoSQL databases such as PostgreSQL, DynamoDB, MongoDB, or SQLite
• Experience architecting and deploying solutions using AWS (preferably) or Azure cloud frameworks
• Experience with containerization and orchestration such as Docker and Kubernetes
• Experience with complex API ecosystems such as FastAPI, REST, gRPC, or GraphQL
• Experience building secure, high‑performance applications in classified or highly restricted environments
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in a STEM field

• Experience working with automated testing tools to perform testing and maintenance
• Experience with AI‑augmented development workflows or agentic tools, such as Codex, Claude Code, or OpenCode or other multi‑agent approach
• Expertise with distributed search or data platforms such as Elasticsearch, OpenSearch, Solr, Kafka, NiFi
• Experience modernizing legacy applications into modern frameworks
• Experience with IaC tools such as Terraform or CloudFormation
• Experience integrating AI/ML or LLM‑based development workflows
• Experience supporting GEOINT or Intelligence Community analytic missions
• Master’s degree in Computer Science, Software Engineering, or a related field

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.

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.

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 $86,800.00 to $198,000.00 (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.

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.