Principal Full-Stack Developer

Leidos•3325 Fort George G. Meade MD, MD

7d•$131,300 - $237,350

About The Position

Leidos has a new and exciting opportunity for a Principal Full-Stack Developer in our Intel Sector. Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. Our program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Seeking a motivated Principle Full-Stack Developer to support the exciting Tradecraft Evolution mission. The Developer will work closely with mission stakeholders to capture requirements to design, develop, and deploy a production-ready Business Intelligence and data warehousing environment.

Requirements

Bachelor's degree plus 11-years of relevant experience or equivalent.
Strong proficiency with object-oriented languages (Python, Java, and R).
Proficiency with cloud computing, data engineering, business intelligence, and AI/ML operations.
Proficiency with Jupyter Notebooks.
Active TS/SCI with Polygraph security clearance.

Nice To Haves

Knowledge of SIGINT architectures.
Knowledge of Apache NiFi dataflows.
Knowledge of customer corporate tools and data repositories.
Expertise in SIGINT architecture and NiFi dataflows.
Advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines.

Responsibilities

Collaborate closely with customers to Design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment leveraging Python, Java, R, and AWS cloud technologies.
Provision and configure AWS resources.
Implement enterprise data warehousing solutions.
Deploy and integrate Tableau and Power BI.
Develop core corporate dashboards and analytics.
Enable advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives.
Optimize Large Language Model (LLM) performance through advanced prompt engineering.
Integrate scalable, secure, and operationally effective AI solutions into the enterprise analytics ecosystem.
Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating APIs and business intelligence analytics.