Agentic Delivery Supervisor

First Student is North America's leading provider of student transportation, helping millions of students get to and from school safely each day. Our technology teams build and support the operational, safety, customer, and employee-facing systems behind that work, including our HALO platform.

AI is an area of active investment for us, and this role is one of the ways we are building AI capabilities the business can rely on and govern.

About the Role

You will own First Student's path to production for agent-built software. Supervisor here refers to owning that route, the same way an Agentic Software Supervisor owns code generation. The role has no direct reports. You decide how code moves from an AI Software Supervisor's environment into production, you supervise the agents to the automated route that carries it there, and you own how it behaves once it is live.

This role is one seat in a three-person pod we are building toward. The other two are a Product Builder, who decides what to build and why, and an Agentic Software Supervisor, who directs coding agents to build it. Your part is making sure what they produce reaches production fast, holds up once it is there, and never puts student data or daily operations  are still standing the pod up, so depending on when you join, some of these seats may be filling in around you, and you will have real say in how the pod works and how the path to production gets built.

The problem stays the same either way: the pod can write working code far faster than a conventional team, and that speed only pays off when the code reaches production safely. Closing that gap is the job.

Your results show up in two numbers: how fast code reaches production, and how safely. The path has to keep up with the AI agents generating code, what ships has to be reliable, and a three-person pod has to deploy and operate like a much larger one.

The role consolidates work that used to be spread across release engineering, CI/CD, infrastructure, QA automation, and site reliability, and puts it under one owner of the route to production. In market terms the closest match is an AI-era platform engineer. You will build in our standard stack of React, React Native, and AWS. Because much of what ships touches student data, FERPA and enterprise governance are part of the work.

How You'll Work

You will use AI agents and tools to build and run the delivery path itself, not only to ship the product code that travels down it. Deployment automation, test and evaluation harnesses, policy checks, and monitoring are things you assemble and keep improving, the same way the Agentic Software Supervisor works with code generation. Your job is to define what counts as production-ready here, prove it automatically, and decide where a human still has to sign off.

A central part of the role is building the paved road: the golden paths, guardrails, and self-service steps that let the pod ship without re-deciding how deployment, testing, security, and rollback work every time. The goal is a route where the safe way to production is also the fast way, so no one has a reason to go around it.

A typical week may include:

* Designing and building the automated path that carries agent-generated code from merge to production, with the gates and checks that keep it safe at agent speed.

* Standing up or extending CI/CD, infrastructure-as-code, and deployment automation on AWS.

* Building automated quality, security, and policy gates that catch defects in AI-generated code before they reach production.

* Operating deployment, test, and monitoring agents, and reviewing their output, so the path runs with little manual effort.

* Instrumenting production for observability, and owning rollback, incident response, and recovery when something breaks.

* Working with the Product Builder and Agentic Software Supervisor to close the gap between code being written and code being live.

Key Responsibilities

Own the path to production

* Work closely w/ Dev manager & Cyber leader

* Decide and document how code moves from an AI Software Supervisor's environment into production, and own that route end to end.

* Build and maintain CI/CD pipelines, infrastructure-as-code, and deployment automation that ship reliably on AWS.

* Make deployment fast and repeatable through progressive delivery (canary, blue/green, feature flags) so changes ship in small, reversible steps.

* Keep the path ahead of the rate coding agents generate code, clearing manual bottlenecks as volume grows.

* Own release readiness and what actually ships, beyond the mechanics of the pipeline.

Build and operate the agentic delivery platform

* Build the golden paths, scaffolds, and self-service workflows that let the pod deploy without re-solving deployment each time.

* Use AI agents and tools to set up and run the delivery process, including deployment, testing, and monitoring agents that you configure and validate.

* Encode standards into the platform as reusable defaults and automated checks, so the…