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# Software Engineer III

- **Company:** Scientific Research Corporation
- **Location:** North Charleston, SC, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing Security, Cyber Security, Decision Support Systems, Identity and Access Management, Information Systems Security Architecture Professional, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, OAuth, Performance Tuning, RabbitMQ, Openid Connect, Prometheus, Azure Machine Learning, Swagger, Data Streaming, Openapi, Data Logging, Data Processing, Cloud Platform System, Okta, Grafana, AWS Lambda, Containerization, Kubernetes, Information Technology, Performance Monitor, Real Time Data, Apache Kafka, Machine Learning Operations, Serverless Computing, Docker, Elk Stack
- **Published:** May 29, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8943315/software-engineer-iii

## About the Role

* Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, or a related field from an ABET-accredited or CAE-designated institution
 * At least one of the following DoD-approved baseline certifications or an equivalent recognized by the DoD Cyber Workforce Framework:
 + Certified Information Systems Security Professional (CISSP)
 + Certified Information Security Manager (CISM)
 + DoD-approved AI/ML certifications (e.g., DoD AI/ML Engineer, DoD IA/IA 8570.01-M AI/ML).
 * Minimum 2 years of progressive, full-time experience developing AI/ML models, APIs, and software plugins for mission-critical systems, with at least 1 years focused on the TAK/TAKX environment or comparable tactical platforms
 * Ability to design, implement, and optimize AI/ML pipelines; develop and document secure APIs; integrate plugins with TAKX and MCPs; perform performance tuning; and troubleshoot production issues in high-availability environments

Desired Skills

 * 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 creationExperience 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 communicationsHands-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 workloadsAbility 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 credentialsAbility to obtain and maintain higher-level clearance (Top Secret/SCI) as mission requirements evolve

## Description

* Designing, developing, and integrating advanced machine-learning solutions and intelligent plugins for the Tactical Assault Kit (TAK) ecosystem, including TAKX extensions, Mission Command Platforms (MCPs), and associated APIs
 * Creating scalable AI/ML pipelines, developing custom plugins, and configuring secure API services that enable real-time data fusion, analytics, and decision support for mission-critical operations
 * Serving as the primary technical authority on AI/ML integration within the TAK environment and collaborating with government program officials, contractors, and other stakeholders to ensure secure, performant, and compliant solutions, * Domestic travel: Up to 10 % of the year (approximately two weeks) for site visits, security assessments, or briefings at other DoD locations
 * International travel: Infrequent, typically less than 5 % of the year, only when needed for coordination with overseas partners and subject to clearance approval


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