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Software Engineer, Full Stack Developer, AI Engineer (Applied​/Software)

Job in Fort Meade, Polk County, Florida, 33841, USA
Listing for: Wyetech, LLC
Full Time position
Listed on 2026-10-24
Job specializations:
  • Software Development
    Full Stack Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Principal Software Engineer (SWE4) –

Wyetech is seeking a motivated Principal Software Engineer (SWE4) / Full-Stack Developer to support the Tradecraft Evolution mission. The successful candidate will work closely with mission stakeholders to capture requirements and design, develop, deploy, and sustain a production-ready Business Intelligence (BI), data warehousing, and advanced analytics environment.

This position requires expertise in full-stack software development, cloud computing, data engineering, business intelligence, and AI/ML operations. The Software Engineer will leverage Python, Java, R, and AWS cloud technologies to develop scalable enterprise analytics solutions, integrate diverse data sources, and deliver mission-critical capabilities that support intelligence analysis, operational decision-making, and technology discovery.

Required Skills/

Experience:

  • Strong proficiency in object-oriented programming and software development using Python, Java, and R.

  • Extensive experience designing, developing, deploying, and sustaining full-stack software applications and enterprise analytics solutions.

  • Experience with AWS cloud computing, including provisioning, configuring, and managing AWS resources.

  • Experience designing and implementing enterprise data warehousing solutions.

  • Experience developing and integrating Business Intelligence solutions using Tableau and Power BI.

  • Experience creating enterprise dashboards, analytics products, and reporting capabilities.

  • Experience with data engineering, data integration, and advanced analytics.

  • Experience developing APIs and integrating disparate data sources to support business intelligence and mission analytics.

  • Experience with Jupyter Notebooks for data analysis, development, and experimentation.

  • Experience with AI/ML operations (MLOps), including deploying and operationalizing machine learning models.

  • Experience with Docker containerization and Kubernetes orchestration.

  • Experience developing and maintaining automated end-to-end data processing and machine learning pipelines.

  • Experience with Large Language Models (LLMs), including prompt engineering and performance optimization.

  • Ability to collaborate directly with mission stakeholders to gather requirements and translate operational needs into technical solutions.

  • Experience supporting the full software development life cycle, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Desired Technical

Skills:

  • Knowledge of SIGINT architectures and intelligence mission environments.

  • Experience with Apache NiFi dataflows and data integration.

  • Familiarity with customer corporate tools, systems, and data repositories.

  • Experience supporting advanced analytics, analytic watermarking, and sandbox environments.

  • Experience developing and implementing pilot initiatives and emerging technology solutions.

  • Experience integrating AI/ML capabilities into enterprise business intelligence and analytics environments.

  • Experience optimizing cloud-based applications for scalability, security, reliability, and operational efficiency.

  • Demonstrated technical leadership and experience mentoring or guiding software development teams.

Capabilities:

  • Design, develop, implement, test, deploy, and maintain complex software systems and enterprise applications.

  • Apply computer science principles, algorithms, discrete mathematics, probability, and statistics to software engineering challenges.

  • Analyze mission and user requirements to develop scalable, secure, and maintainable software solutions.

  • Design and implement full-stack applications that integrate backend services, APIs, databases, and user-facing analytics tools.

  • Develop and sustain enterprise Business Intelligence and data warehousing…

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