Distinguished AI Software Engineer
RemoteUnited States
Job Summary
Architect and deploy secure, distributed platforms supporting modular, multi-service software environments in AWS GovCloud or hybrid IL4–IL6 environments. Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems. Engineer cloud-native solutions with Infrastructure-as-Code to automate provisioning, configuration, and accreditation workflows. Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment. Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency. Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity. Partner with program and product leadership to align delivery with mission lifecycle requirements.
Required Qualifications
- Active Secret clearance
- Bachelor's degree in Computer Science, Software Engineering, or related technical field
- 10–15 years of progressive software engineering experience
- 5 years in a technical leadership or architecture role
- Proven success architecting and deploying secure, distributed, cloud-native software platforms
- Deep experience with AWS GovCloud or IL4–IL6 hybrid environments
- Hands-on proficiency with Infrastructure-as-Code (Terraform, CloudFormation, or CDK)
- CI/CD automation
- Strong understanding of DevSecOps, zero-trust principles, and mission accreditation (ATO/RMF) processes
- Demonstrated ability to operationalize software systems from prototype through accreditation in secure environments
- Strong coding experience in one or more core languages (Python, Java, C++, TypeScript)
- Active Secret clearance required
- TS/SCI strongly preferred
Desired Qualifications
- Master's degree
- Experience developing developer-facing APIs, SDKs, or enablement platforms for enterprise-scale interoperability
- Familiarity with containerization and orchestration (Docker, Kubernetes, ArgoCD, or Rancher)
- Awareness of MLOps and AI solution integration practices
- Proven ability to mentor engineers and influence enterprise-level software design decisions
- Recognized for contributions advancing automation, performance, and platform modernization within secure environments
- Comfortable balancing architecture, coding, and stakeholder engagement in fast-paced mission contexts
- Preferring candidates close to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO
- Willing to travel to these locations and customer sites, as needed
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