Distinguished AI Software Engineer
$190,000–$220,000 year
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 while enforcing architectural principles and modularity standards. Engineer cloud-native solutions with Infrastructure-as-Code to automate provisioning, configuration, and accreditation workflows, ensuring zero-trust principles and multi-enclave deployment. Transition software from prototype to production, establishing automated testing, release governance, and performance monitoring for ongoing sustainment. Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity while guiding design decisions for enterprise-level platforms.
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) and 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)
- Proximity to Dayton OH, Chesapeake VA, Huntsville AL, or Colorado Springs CO
- Willingness to travel to these locations and customer sites, as needed
Desired Qualifications
- TS/SCI clearance
- 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 — capable of collaborating with AI/ML teams on model deployment and sustainment
- 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
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