Software Engineer III

Scientific Research Corporation
North Charleston, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior

Job location

North Charleston, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing Security
Computer Security
Decision Support Systems
Identity and Access Management
Information Systems Security Architecture Professional
Python
Machine Learning
Enterprise Messaging Systems
OAuth
Performance Tuning
RabbitMQ
Openid Connect
Prometheus
Azure
Swagger
Data Streaming
Openapi
Data Logging
Data Processing
Cloud Platform System
Okta
Grafana
AWS Lambda
Containerization
Kubernetes
Information Technology
Performance Monitor
Real Time Data
Kafka
Machine Learning Operations
Serverless Computing
Docker
ELK

Job 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

Requirements

  • 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

Benefits & conditions

SRC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with a company match, life insurance, vacation and sick paid time off accruals starting at 10 days of vacation and 5 days of sick leave annually, 11 paid holidays, tuition reimbursement, and a work environment that encourages excellence and more. For positions requiring a security clearance, selected applicants will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

About the company

Scientific Research Corporation is an advanced information technology and engineering company that provides innovative products and services to government and private industry, as well as independent institutions. At the core of our capabilities is a seasoned team of highly skilled engineers and scientists with multidisciplinary backgrounds. This team is challenged daily to provide cutting edge technology solutions to our clients.

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