ForgeApplyTry it free

ForgeApply · Job listing

Senior UX Developer (NIH Data Lakehouse Support)

GDIT

Remote · US$111k – $150k

Tailor your resume for this GDIT job in about a minute.

ForgeApply tailors your resume and cover letter to this exact posting, then hands you a ready-to-submit application for GDIT's site. Free trial, no card required.

Tailor my resume for this jobView original posting →

About this role

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: None

Public Trust/Other Required: NACLC (T3)

Job Family: Software Engineering

Job Qualifications: Skills: Design, User Experience (UX) Design, User Interface (UI) Design Certifications: None Experience: 5 + years of related experience US Citizenship Required: No

Job Description: Senior Front-End Product Engineer React + UX + Data & AI Experiences Build the front door to biomedical discovery. LOCATION : Remote Eligible CLEARANCE : Public Trust or ability to obtain one MISSION PARTNER : National Institutes of Health

YOUR IMPACT

What happens when biomedical data, modern AI, and exceptional product craft meet? The hard thing becomes clear, fast, and trustworthy. GDIT is looking for a senior front-end product engineer who can take an ambiguous mission problem from first conversation to production - and keep improving it after launch. This is an engineering-first role for someone who is equally comfortable interviewing users, sketching a flow, challenging a product assumption, designing an interaction model, and shipping a high-performance React application used by thousands of people or more. You will build data-rich and AI-enabled mission applications for the National Institutes of Health. You will not simply receive a mockup and turn it into code. You will help define the product: personas, journeys, information architecture, prototypes, design system, front-end architecture, delivery plan, telemetry, and production operations. The work will deploy across Azure, AWS, and Databricks Apps. Our goal: users should feel that a difficult mission workflow just became obvious.

THE ROLE

This role lives at the intersection of product design, UX research, front-end architecture, data visualization, AI interaction design, and cloud delivery. You will partner with NIH mission stakeholders, domain experts, product leaders, designers, data scientists, AI engineers, back-end engineers, and platform teams to decide what should be built and then make it real. You will move fast, but not recklessly. You will use prototypes and evidence to reduce ambiguity, make thoughtful tradeoffs, and take responsibility for the quality, accessibility, security, reliability, and impact of what reaches users. This is not a handoff role. It is an ownership role.

MEANINGFUL WORK AND PERSONAL IMPACT

•  Lead human-centered discovery through interviews, contextual inquiry, workflow observation, task analysis, and collaborative workshops with mission users and stakeholders. •  Turn research into clear personas, jobs-to-be-done, journey maps, service blueprints, information architecture, task flows, and product hypotheses. •  Prototype at the speed of learning - from sketches and Figma concepts to high-fidelity coded prototypes - and use feedback to decide what deserves production investment. •  Plan and facilitate usability studies, accessibility reviews, design critiques, and behavioral analysis; translate findings into prioritized product and engineering decisions. Engineer the product •  Architect and build production React and Next.js applications using TypeScript, the App Router, Server Components, Server Functions, streaming, modern caching, and intentionally small client-side boundaries. •  Create responsive, adaptive, accessible interfaces using semantic HTML, modern CSS, Tailwind CSS, design tokens, accessible component primitives, and purposeful motion. •  Build data-intensive experiences - dashboards, exploratory search, complex forms, virtualized tables, visual analytics, collaboration workflows, and real-time or streaming interfaces - without making users wrestle with the data model. •  Design AI-native experiences such as copilots, RAG and agentic workflows, assisted analysis, and generative interfaces with streaming feedback, source attribution, provenance, clear limitations, human approval points, and graceful failure states. •  Integrate GraphQL, REST and OpenAPI services, event streams, and back-end capabilities using generated types, runtime validation, resilient error handling, and secure authentication and authorization patterns. •  Choose the right home for state - URL, server, component, form, or shared client state - and implement caching, synchronization, optimistic interaction, and recovery with discipline. •  Build and evolve a reusable design system and component platform in Storybook so teams can ship consistent, accessible experiences faster. Ship and operate •  Own delivery from local development through production across Azure, AWS, and Databricks Apps, selecting managed, serverless, or container-based approaches that fit the mission and security context. •  Automate build, test, security, and deployment pipelines; use infrastructure as code, dependency and supply-chain controls, feature flags, progressive delivery, and repeatable environment promotion. •  Instrument the browser and application with logs, metrics, traces, error reporting, product analytics, and Core Web Vitals so the team can see what users experience and act on it. •  Create a balanced quality strategy spanning unit, component, contract, accessibility, visual, performance, and end-to-end tests. Treat production reliability and incident learning as part of product quality. Lead and elevate •  Set a forward-looking front-end roadmap, document architectural decisions, communicate tradeoffs, and keep the platform modern without chasing novelty for its own sake. •  Partner directly with users and leaders, explain complex technical choices clearly, invite dissent, and create alignment across design, product, data, AI, security, and engineering. •  Mentor engineers and designers, lead design and code reviews, establish front-end quality standards, and create a paved road that improves delivery across the team. •  Use AI-assisted design and development tools responsibly to accelerate discovery, coding, testing, docu

Tailor your resume for this GDIT role before you apply.

Tailor my resume for this job

Similar jobs

More like this: More jobs at GDIT · Browse all jobs

Free ATS checker · How to Tailor Your Resume to a Job Description (Step by Step)