Everything Engineer

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. The legacy platform is a decades-old fat-client application with hundreds of screens, millions of lines of Java code, hundreds of thousands of lines of stored-procedure logic, hundreds of reports, and a ton of batch processing. 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 stand up infrastructure, debug a pipeline, reason about security controls, and hold your own in any layer of the system. And you’ll have real depth in your focus area, where you set the technical bar for the team.

Your focus: Backend

You’ll own the heart of the rebuild: the domain model and services that replace decades of accumulated business logic.

Who thrives here

The Stack

TypeScript end to end. Node with a REST API. PostgreSQL with Prisma. React front end. Temporal workflows. AWS GovCloud, defined in AWS CDK (TypeScript). GitHub and GitHub Actions CI. Vitest and Playwright. Codex and/or Claude Code (or equivalent) with a versioned team harness. Slack and Jira. Everything gets wrapped in containers and pushed to EKS or ECS. On the legacy side you’ll deal with: Oracle 19c, PL/SQL, converted-Forté Java, Cognos, Control-M.

Requirements

Desired Experience

Ability to read PL/SQL and legacy Java (you’ll be doing archaeology, not just greenfield work); experience with financial calculation engines, audit- or compliance-sensitive systems, or complex state machines.

Nice to have:
Prior work in a regulated or government environment (FedRAMP, RMF, IL-anything); REST API design at scale; Oracle-to-Postgres migration scars.