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Software Guidance & Assistance, Inc. (SGA, Inc.)

Full Stack Engineer (NY/NJ/DMV)

tysons corner, VA

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About this opportunity

Software Guidance & Assistance, Inc. (SGA, Inc.) lists this Full Stack Engineer (NY/NJ/DMV) opportunity in tysons corner, Virginia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Full-Stack Engineer for a CONTRACT assignment with one of our premier Regulatory clients. Must be local to one of these office locations and willing to work hybrid in DMV area or NY/NJ area.

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

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.

Responsibilities :

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.

Required Skills :

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.

Preferred Skills :

Data-savvy: comfortable with SQL and large/structured data; able to work with data-science partners on analytics/ML-backed features (you don't need to be a data scientist, but you should speak the language).

UX sensibility: strong sense for analyst-facing usability; able to collaborate closely with UX or prototype UI when needed.

Experience with BI/visualization platforms (e.g., QuickSight) and embedding/composing visual components.

Experience with regulated / high-stakes domains (financial services, compliance, surveillance) where auditability and correctness matter.

Experience replacing or strangler-fig-migrating (or other pattern) a legacy platform incrementally.

Experience with MCP / LLM-backed tooling or building agentic/automation accelerators.

By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

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