Full Stack Engineer

Software Guidance & Assistance, Inc., (SGA), is searching for a Full-Stack Engineer for a CONTRACT assignment with one of our premier Regulatory clients in the DMV area or NY/NJ area.

We're hiring a Full-Stack Engineer with deep systems-integration expertise to help define and build the workflow and triage capabilities for decision analytics system.

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Candidate is expected to create new capabilities from scratch while tightly integrating with existing capabilities/platforms (data, query, catalog, case-management, and legacy tools) during a multi-year, incremental (strangler-fig) migration. It suits an engineer who is equally comfortable owning a feature end-to-end (UI → API → data) and reasoning about contracts between systems.

* Build greenfield workflow capabilities — triage, intelligent assignment, disposition, and handoff flows — from UX through backend, with production-grade rigor (testing, observability, security, accessibility). * Integrate across the ecosystem — define and implement interfaces to data/query layers, metadata catalogs, case-management, and legacy surveillance systems; treat each cross-system handoff as a contract, not a wiring job. * Do integration discovery — reverse-engineer how existing systems work, map data/interface dependencies, prototype integration approaches, and turn ambiguity into documented, buildable interface contracts. * Support incremental migration — build for coexistence of old and new systems (dual-run, adapters, intake routing) rather than big-bang cutover. * Leverage AI tooling — use AI-assisted development (code generation, spec-driven workflows, agentic accelerators) to raise throughput and quality; help establish patterns for the team. * Collaborate across disciplines — work with product, data science, UX, and domain/business partners to turn requirements into working software.

* Strong full-stack engineering: modern front-end (e.g., Angular/React/TypeScript) and backend services (e.g., Java/Spring, Node, or Python) — comfortable owning a feature across the whole stack. * Demonstrated systems-integration experience: designing and building APIs/interfaces between distinct systems; working with heterogeneous data sources, event/messaging patterns, and third-party/legacy integrations. * Development rigor — testing discipline, code quality, observability, secure-by-default patterns, and an instinct for maintainable design under real production constraints. * Comfort operating in ambiguity / discovery — able to investigate unfamiliar systems, ask the right questions, and produce clear technical designs and interface definitions. * Fluency with AI-assisted development tools and a track record (or strong appetite) for using them to accelerate delivery without sacrificing quality. * Cloud experience (AWS preferred) — building and integrating services in a cloud environment.