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Lead transformation of DOJ NCS application stack by redeveloping custom applications, managing CI/CD pipelines, and implementing DevSecOps principles.

The Senior Network Engineer will design, engineer, and manage highly available classified network infrastructures, ensuring system availability and addressing complex networking challenges for the Department of Justice.

Lead a development team for custom software and SharePoint applications, ensuring secure code delivery and mentoring developers. Manage SDLC and provide application support.

The AI/ML Engineer will develop and integrate AI/ML solutions for autonomous warfare, ensuring compliance with cybersecurity policies and collaborating on large language model projects.

Build full-stack vertical slices for a mission-critical government system with a frontend focus: React/TypeScript UIs, Node services, Prisma schemas, PostgreSQL, and AWS. Use agentic AI tools, lead design-system/accessibility, apply TDD and Playwright E2E testing, maintain CI/CD, and iterate continuously with stakeholder review.

Lead Infrastructure/DevOps for a DoD IL4 web modernization. Build AWS GovCloud IaC with TypeScript/CDK, enforce NIST compliance, architect high-performance CI/CD, implement Zero Trust, use agentic AI to automate infrastructure, and support full-stack debugging and platform reliability.

Build full‑stack vertical slices for a mission-critical legacy modernization using agentic AI tools. Lead frontend UX with React/TypeScript, maintain component library and accessibility, implement Node APIs and Prisma/Postgres schemas, deploy AWS infrastructure, and ensure quality via TDD, CI, and Playwright while shipping small, continuous releases.

Build and manage AWS GovCloud infrastructure with AWS CDK (TypeScript), enforce NIST compliance, design high-performance GitHub Actions CI/CD, automate security authorization evidence, implement Zero Trust (CAC/ICAM, mTLS), use agentic AI to generate infrastructure, own merged code, debug full stack issues, and support application teams while meeting DoD IL4 requirements.

Design, build, and maintain ingestion and transformation pipelines for a knowledge-graph analytics platform. Profile and prepare structured and semi-structured source data, ensure data lineage and traceability, implement transformation logic for graph loading, collaborate with data scientists on graph modeling and entity resolution, improve pipeline reliability, and document ingestion patterns using version control and issue tracking.

Lead design and development of large-scale government software systems: analyze requirements, design end-to-end solutions, implement and configure programs, troubleshoot via root-cause analysis, recommend optimizations, adapt to changing operational needs, synthesize technical data, and mentor junior engineers.