Platform Engineer

Concourse is an AI-native company building software for the public sector. We’re growing rapidly, with more than 100 federal, state, and local partners. We’re based in New York, and we’re looking for people who are enthusiastic about using AI to get more done.

Open positions

New York City

Full time

On-site

• Base Salary $160K – $200K Offers Equity

Concourse is building the operating system for State and Local governments. Our platform is a configurable approach to tackling fragmented government data and workflows and turning them into smooth operations for public servants and the constituents they serve. As a Concourse Platform Engineer, you're not building a marginal feature for one product. You're contributing to the infrastructure that scales to our hundreds of products serving millions of Americans.

You own the foundational layer: the data ingestion pipelines, AI workflow orchestration engine, and configurable primitives that support everything above them. Your role is to empower our Forward-Deployed PMs who sit alongside city and county teams, understand their specific workflows, and assemble each agency's solution. A bail management system for a county courthouse. IT Helpdesk for a school district. A water utility operations dashboard.

An ERP for a mid-sized city. The FDPMs build those. Your job is to make sure they can.

You're working on the deep infrastructure questions that make every deployment possible: how to reliably ingest data from a 30-year-old mainframe, how to run multi-step AI workflows that government users can audit and trust, how to expose primitives flexible enough to model any government process but constrained enough that non-engineers can build on them.

These are hard, novel problems. The people solving them will define the next generation of government software serving us.

Design and own the connectors, ingestion pipelines, and data modeling primitives that normalize government data from legacy systems (mainframes, Oracle, flat files, proprietary APIs) into a consistent, queryable foundation

Build the infrastructure for long-running, multi-step AI workflows: task queuing, state management, retries, human-in-the-loop checkpoints, and the audit trails government compliance requires

Build and maintain the core primitives FDPMs build on top of: the workflow engine, role-based access model, form and action framework, and event system that let a non-engineer assemble a bail system or permitting platform without writing the plumbing from scratch

Bake in data isolation, access controls, and auditability as core platform features from the start, with a path toward compliance certifications (FedRAMP, CJIS, HIPAA) as we grow

Work directly with the founder on architecture decisions that will compound across every deployment we ever ship

A portfolio: what have you built end-to-end, from scratch, under pressure?

Strong backend fluency in Python and/or Node, with solid instincts for data modeling, API design, and building systems that stay reliable and extensible over time

Enough frontend ability to build and reason about a UI, even if you won't own it

Hands-on experience using AI coding tools (Claude Code, Codex, Gemini CLI, Factory, etc.) as a core part of your daily workflow

Good instincts for abstraction: knowing when to generalize something into a platform primitive vs. when to just ship it

US citizen (required for government work)

Willing to work in-person in Flatiron, NYC (5 days/week)

Experience building developer platforms or internal tooling, devops/infrastructure, agentic AI orchestration, or work in regulated industries like healthcare, finance, or…