Red Horse Corp is hiring a Senior Everything Engineer (Data & Migrations) to join their Software Development team. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S.
About the Role
Redhorse transforms the way government uses data and technology. We are seeking "Everything Engineers" with a Data Focus to lead the modernization of a mission-critical legacy system managing billions of dollars in international security cooperation.
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. Under the hood: four Oracle schemas (three of them mirrored copies kept in sync by triggers over database links), roughly half a million lines of PL/SQL, hundreds of views and triggers, a large Cognos reporting estate, and decades of accumulated production data with every edge case you can imagine and several you can’t. 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.
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:
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.
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 build the admin UI for your data quality reports, write an API endpoint, and reason about security controls. And you’ll have real depth in your focus area, where you set the technical bar for the team.
You’ll own the ground the whole modernization stands on.
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.
Heterogeneous migration experience, ideally Oracle to Postgres, with validation and reconciliation rigor; data modeling for analytics; data-quality tooling.
Nice to have: prior work in a regulated or government environment; financial data and audit exposure; synthetic data generation; Cognos experience.
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