About Pilotbase: Flight Schedule Pro powers the world’s flight training ecosystem, supporting over 1,400 flight schools and tens of thousands of pilots each year. We are now building Pilotbase , a connected system that brings together flight schools, pilots, and industry partners into a single, data-driven network. This next phase of growth is focused on expanding within our existing customer base, reaching pilots directly, and creating new revenue streams across the ecosystem.

Job Overview: As our Staff Software Engineer for Developer Platform, you are a highly-productive, AI-first engineer who owns the platform and tooling that lets every engineer, PM, and designer at Pilotbase ship faster. This is a force-multiplier role: rather than adding linear capacity to one product team, you raise the ceiling for everyone. You will build and operate the “paved road” of curated, self-service tools spanning local development, CI/CD, shared libraries, cloud infrastructure, and the autonomous AI agents we are embedding into our software development lifecycle.

You bring an AI-native methodology to everything you touch: automating away friction, safely introducing agents into the SDLC with the right guardrails, and treating developer productivity as a measurable product, with our engineers as your customers. This is a deeply hands-on individual contributor role with organization-wide impact, responsible for setting the technical direction for how Pilotbase builds software.

Responsibilities

: Evolve AI use throughout the SDLC — develop, evaluate, and operate autonomous agents and AI tooling that augment how we plan, code, review, and ship, with the governance (access, guardrails, cost, and quality controls) to run them safely at scale Maintain the Pilotbase monorepos — workspace dependency graphs, code sharing, and library publishing across 20+ shared libraries (types, validation schemas, utilities, API clients) Own and evolve our CI/CD pipelines — GitHub Actions, build performance, container builds, and deployments as well as establish quality gates such as testing, and PR checks Co-manage cloud infrastructure — AWS ECS/Fargate, ALB, ECR, CloudFront, and Terraform IaC Strengthen authentication and authorization — enterprise SSO, OAuth integrations, and shared auth providers across web and mobile apps Build and operate the feature flag services to enable safe deployment of new capabilities Drive design system adoption Own database tooling and migrations across a mix of technologies Reduce developer-experience friction, including local dev setup, environment configuration, and AI tooling

Qualifications

: REQUIRED: An AI-first engineer who reaches for agents and AI tooling by default, with a clear point of view on how they change the way teams build software Experience implementing agentic AI frameworks for software development beyond personal coding assistants.

Compensation

: $170,000–$210,000 base salary, depending on experience and location.

Benefits

: Full

package (Medical, Dental, Vision, Short-Term Disability, Life Insurance, 401(k) plan) Equity Appreciation Plan Flexible Time Off policy Seven (7) company-wide paid holidays + two (2) floating holidays Two (2) wellness days Employee Assistance Program Professional Development Stipend Home Office Stipend Travel

Requirements

: Occasional business travel may be required, up to 10%.

Staff AI Platform Engineer