- Deep understanding of the TAK ecosystem, TAKX plugin architecture, and Mission Command Platform (MCP) integration points
- Proficiency in Python and Java for AI/ML model development, data processing, and API creation
Experience with data streaming and messaging technologies such as Apache Kafka, RabbitMQ, or equivalent - Familiarity with identity and access management solutions (e.g., Keycloak, OAuth 2.0, OpenID Connect) for securing APIs and plugin communications
Hands‑on experience with containerization (Docker, Kubernetes) and CI/CD pipelines for rapid deployment of AI/ML services - Knowledge of cloud environments (AWS GovCloud, Azure Government) and serverless compute (AWS Lambda, Azure Functions) as they relate to AI/ML workloads
Ability to produce technical documentation, API specifications (OpenAPI/Swagger), and integration guides for both technical and non‑technical audiences - Proven track record in performance monitoring, logging, and observability of AI/ML services (e.g., Prometheus, Grafana, ELK stack)
- Strong communication and stakeholder‑management skills; capable of leading cross‑functional work streams and delivering clear status reports
- Experience mentoring junior engineers and fostering best practices in AI/ML development, testing, and security
- Preferred additional certifications: Certified Kubernetes Administrator (CKA), Certified Cloud Security Professional (CCSP), or DoD‑specific 8570.01‑M IA/IA C/IA E credentials
Ability to obtain and maintain higher‑level clearance (Top Secret/SCI) as mission requirements evolve
Job ID
11081
Security Clearance
TS/SCI
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