Mid-Level Everything Engineer (Front End)

About The Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We're looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About The Role Redhorse transforms the way the government uses data and technology. We are seeking "Everything Engineers" (Full-Stack Software Engineers with a Frontend Focus) to modernize a mission-critical legacy system managing billions of dollars in U.S. international security cooperation. The project We're working to modernize a mission-critical legacy system that manages foreign military sales cases for the U.S. government. It's the system of record behind billions of dollars in international security cooperation. Today its users navigate a decades-old fat-client application with roughly four hundred windows, learned through thousand-page manuals and years of muscle memory. It works. But we can do better for an important national security mission. Our job is pretty straight forward. Out with the old, in with the new. We're going to replace the legacy system with a modern web platform that does all the things; from a functional perspective, a technical perspective, and a compliance perspective. And we're going to make it happen through quick iterations, built on an Agentic AI Software Development Lifecycle. How We Build (read This Before Applying) AI-led development isn't a novelty act, its just how software is built. Full stop. Every engineer on this team works through agentic toolkits, Codex/Claude Code/etc. Every day. On production code. Our engineering harness (versioned rules, skills, and specs that guide both humans and agents) is a first-class product with its own backlog. We measure ourselves on shipped, verified capability, not lines typed. What that means in practice: • You'll decompose problems into specs precise enough that an agent can implement them directly and concretely, and you'll own everything you merge, because agent output is your output • You'll review rigorously. The bar is production software for a regulated federal financial system: test-driven development, human review on every merge, and a rigorous CI scans • You'll ship constantly. Small reviewable changes, an always-green main branch, an always-on beta environment stakeholders can touch • You get to play with all the latest cool tech as part of your job If you think of AI-led development as vibe-coding, or some fad you tolerate between "real" coding sessions, this isn't your team. If you've hand rolled enough code to appreciate how Agentic AI outsources all the tedious bits and lets you build anything, let's talk. What "Everything Engineer" Means Everybody builds across the whole stack (UI, API, database, infrastructure, pipeline) because our unit of work is a complete vertical slice of business capability, not a layer. You'll have genuine breadth: you can write an API endpoint, adjust a Prisma schema, debug the pipeline, and reason about security controls. And you'll have real depth in your focus area, where you set the technical bar for the team. Your focus: Frontend You'll own the surface where a punishing expert system becomes a humane product. • Complex, policy-laden workflow UX. Multi-step wizards for building international agreement documents, pricing worksheets, payment schedules, training pipelines: interfaces where every field has a regulation behind it and the UI's job is to make everything simple for the user • A design system with teeth. A React and TypeScript component library where accessibility, plain-language labeling, and layperson-first patterns are built into the components, not retrofitted per screen • Section 508 and WCAG as a first-class requirement. Automated checks in CI plus real assistive-technology passes • Data-dense interfaces done right. The legacy system's hundreds of reports collapse into live, filterable, exportable views and generated documents (PDF rendering of legally significant artifacts). Making dense financial data legible is a big deal • Evidence-grade end-to-end tests. Playwright suites that double as acceptance evidence for government stakeholders Who Thrives Here • Deep, wide technical background. You've written a lot of code for web-based systems, and you understand the whole ecosystem it lives in: cloud infrastructure, CI/CD, networking, security, not just the browser. When something breaks two layers below your component, you follow it down • Agent-native. Real, hands-on mileage with Codex and/or Claude Code (or equivalent) on codebases that matter. You have opinions about specs, context, and harness design based on your experiences • A tinkerer. Intellectually curious, pulls threads, wants to understand why the legacy screen has tha