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Leads implementation, modernization, maintenance, testing, deployment, and support of agile software systems. Develops complex Python solutions, rearchitects legacy applications into microservices, and supports CI/CD and containerization pipelines. Applies advanced software engineering principles, solves highly complex problems independently, and may supervise or develop first-level supervisors or managers. A Secret clearance and bachelor’s degree are required.

Leads the design, development, deployment, and maintenance of scalable data platforms and pipelines for mission-driven clients. Oversees distributed data applications, ETL workflows, real-time ingestion, and structured and unstructured data processing. Mentors multidisciplinary technical teams, supervises staff, manages priorities and dependencies across initiatives, and communicates technical risks and execution plans to clients and executives. Requires extensive enterprise software and data engineering experience, a bachelor’s degree, and TS/SCI clearance with polygraph.

Designs and integrates secure, cloud-agnostic enterprise architectures for U.S. Navy ashore and afloat environments. Leads Windows Server architecture, cloud migration planning, systems assessments, technical documentation, implementation oversight, and modernization using automation, orchestration, and digital engineering. Collaborates with engineering and program teams, ensures architectural compliance, supports DoD cybersecurity requirements, and mentors junior professionals.

Develop predictive models, algorithms, quantitative analyses, and visualizations from structured and unstructured data. Lead complex data science solutions using R, Python, SQL, NoSQL, machine learning, NLP, and text-mining techniques. Collaborate with Marine Corps analysis stakeholders to translate data into actionable insights and decision support. Guide teammates and work across data-rich environments to address public-sector challenges.

Develop and maintain embedded and containerized software supporting mission-critical systems and hardware platforms. Design, test, optimize, reverse engineer, and deploy software using cloud technologies, LLMs, automation, and machine learning pipelines. Acquire client requirements, resolve workflow issues, troubleshoot operational problems, and collaborate with cybersecurity specialists to create secure solutions. The role requires an active TS/SCI clearance and possible polygraph examination.

Design, build, and operate secure production Kubernetes container platforms on AWS. Support orchestration, CI/CD, cloud-native tooling, documentation, and hardening in classified environments while advising on platform strategy and standards.

Design and implement end-to-end AI/ML software solutions and production-grade applications, modernize client systems, build/maintain RESTful APIs, apply CI/CD and containerization, follow federal cybersecurity standards, and support secure deployments while obtaining required government clearance.

Design, develop, and deliver full-stack software solutions from vision to production. Collaborate with teams to solve complex problems, use front-end and back-end languages, and ensure systems align with architecture and future enhancements. Maintain code quality and work within secured environments.

Perform data exploration, cleaning, modeling, and visualization on structured and unstructured data. Lead development of predictive models and MLOps/GenAI solutions in AWS, guide teammates, and advise clients. Work requires active TS/SCI clearance and collaboration across complex, data-rich environments.

Lead design and delivery of scalable AI/ML systems for public health: architect generative AI, RAG, and agent solutions; build data pipelines with PySpark/Foundry; define evaluation, governance, privacy, and MLOps practices; integrate enterprise AI tools and ensure secure, explainable production deployments.