Senior Software Engineer- VA

Connected Logistics•Springfield, VA

1d•$140,000 - $150,000

About The Position

Connected Logistics is seeking a Senior Software Engineer to support the Department of Veterans Affairs AI Pilot Teams. The role leads full-stack development across the system, owning software components and services from design through production deployment, driving integrations across systems, establishing testing and quality practices, and mentoring engineers. The engineer will build AI/ML-enabled functionality for the pilots, including user experiences and application layers that surface model outputs. The role integrates with LangChain, LangGraph, or similar tools and modernizes pilot applications onto a secure, cloud-native golden path. Work includes building React/FastAPI applications, migrating legacy Streamlit pilots to modern React and VA Design System frontends, hardening CI/CD pipelines, and bringing AI pilots from prototype to deployed, measured products in Azure.

Requirements

Must be a U.S. citizen to obtain VA T2 Public Trust clearance.
Bachelor of Science degree with 10+ years of experience, or equivalent, including demonstrable technical leadership.
Expert-level production full-stack development experience with React/TypeScript and Python/FastAPI.
Azure experience, including containerized deployment using AKS and/or Container Apps.
Experience with AI Foundry, LangChain, and LangGraph.
Experience modernizing applications to a design system and delivering to Section 508 / WCAG 2.1 AA accessibility standards.
Strong communication skills and customer-facing polish.
Ability to produce lightweight but useful documentation of system design and automation mechanisms.
7+ years of experience across Agile lifecycle practices based on Kanban, Scrum, SAFe, or other frameworks; automated software delivery in a CI/CD environment; Git-based version control; relational databases and SQL; NoSQL datastores; automation of system backup and recovery, high availability, and zero-downtime approaches; federal application security practices including OWASP, zero-trust principles, and encryption at rest and in transit; and FISMA High security system controls and constraints.
Production-system experience with one or more of Kubernetes or Azure AI Framework.
Production-system experience with Terraform or equivalent infrastructure as code, such as Pulumi.

Nice To Haves

Experience with the VA Design System / USWDS.
Experience with the BrownMM DevSecOps toolchain.
GitHub Enterprise experience.

Responsibilities

Lead full-stack development across multiple concurrent AI pilots using React/TypeScript and Python/FastAPI.
Modernize and migrate pilot applications to production-grade architectures aligned with the VA Design System (USWDS) and Section 508 / WCAG 2.1 AA accessibility standards.
Build and maintain reusable CI/CD templates, containerization, and deployment workflows on Azure (AKS / Container Apps).
Integrate application layers with AI/ML services and pipelines, including Azure AI Foundry, LangChain/LangGraph, model inference, and document-processing workflows.
Own software quality, including automated testing, code review, supply-chain/CVE remediation, and release management.
Produce lightweight but useful system-design and automation documentation.
Mentor engineers and provide technical direction within an Agile team.