Zapier is looking to improve the productivity and velocity of its own engineers by providing them with powerful tools and processes, focusing on AI-powered developer experiences and cutting-edge productivity tooling.
Requirements
- 6+ years of professional software development experience (including 2+ years in a senior or tech lead role).
- Fluent across the stack — building resilient backend services and APIs as well as responsive, intuitive frontend interfaces using modern frameworks.
- Built tools, frameworks, or infrastructure that other developers rely on daily.
- Familiar with AI-assisted development. You’ve worked with AI pair programmers, code review bots, or ML-driven CI optimization.
- Understand how decisions in CI/CD, testing, infrastructure, or local dev environments ripple through the broader engineering ecosystem.
Responsibilities
- Design, develop, and maintain internal products that improve developer productivity and flow.
- Build across the stack — from command-line utilities and IDE extensions to web dashboards and APIs that streamline development workflows.
- Build and integrate AI-powered experiences that augment how engineers build, test, and deploy software.
- Partner with engineers across the company to understand friction points in their workflows.
- Help define and promote standard, high-velocity development patterns.
- Maintain service templates, example apps, and internal frameworks that guide engineers toward best practices.
- Partner with DevOps and Reliability teams to improve how code moves from laptop to production.
Other
- You’re on a mission to make everyone more productive through the power of automation — and that includes our own engineers.
- You have a hypothesis-driven, experimental approach, dogfooding lightweight solutions, measuring their impact, and rapidly iterating.
- You aim to eliminate friction across the software development lifecycle, partnering closely with other platform and product engineering teams to create a seamless, high-velocity developer impact.
- You thrive in a fast-moving environment that values experimentation.
- You use data and feedback to validate ideas and iterate quickly.
