Red Horse Corp is hiring a Senior Everything Engineer (Infrastructure/DevOps) 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 the government uses data and technology. We are seeking an "Everything Engineer" with a focus on Infrastructure and DevOps to build the "runway" for a mission-critical modernization project. You will help replace a massive, decades-old legacy system that manages billions of dollars in international security cooperation with a modern web platform.
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.
From an infrastructure perspective, the interesting part is the operating model. The platform must satisfy DoD impact-level 4 security requirements, federal risk-management and financial-audit frameworks, and Zero Trust architecture, and support an engineering team that merges continuously and expects CI feedback in minutes.
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 and production infrastructure. 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” work, this isn’t your team. If you’ve hand rolled enough code and infrastructure 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 read the application code your platform runs, fix the flaky test blocking the queue, and hold your own in schema conversations. And you’ll have real depth in your focus area, where you set the technical bar for the team.
You’ll own the runway everything else takes off from.
A 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.
Security and compliance automation experience (control frameworks mapped to pipeline gates, evidence generation); GovCloud or other restricted-environment operations.
Nice to have: STIG and hardening experience; developer-experience or build-performance engineering.
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