Staff Software Engineer, Dev Environments

About the role

Our Global Structure

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.

The Dev Environments team sits within DoorDash's Foundations group (Platform Engineering). We own the local and remote developer experience across the DoorDash group of companies supporting over 5000 engineers. Our mission is to enable engineering velocity, quality, and efficiency at significant scale by removing friction from the day-to-day developer loop: spinning up a working environment, getting code building, and getting feedback fast, whether the "developer" is a human or an AI agent.

As a Staff Engineer on Dev Environments, you'll be recognised as an expert across the dev environments space, covering both local and remote dev flows, devcontainers, IDE/remote backends, and how they all fit together, including owning accountability for outcomes that span multiple teams. You'll set technical direction for the team's roadmap, unblock deep cross-cutting technical problems other engineers can't resolve alone, and mentor senior and mid-level engineers. You'll partner closely with engineering leadership across the group to translate ambiguous, company-wide developer-experience problems into a concrete, sequenced technical strategy.

What You’ll Be Doing

Technical direction

- Define the architecture for how thousands of engineers across DoorDash, Wolt, and Deliveroo actually develop and ship code: local and remote dev containers, remote IDE/VM lifecycle, and the full local-to-remote loop.

- Build monorepo dev tooling at scale. It's part of consolidating all the companies under DoorDash’s umbrella onto one global backend - you're setting the standard, not patching one org's tooling.

- Provision production-shaped environments in seconds, keep state in sync over the network, and make a remote machine feel local, reliably and cheaply, at thousands-of-concurrent-engineers scale.

- Expect to invent as much as you adopt: much of this is genuinely unsolved elsewhere in the industry.

- Design for AI agents as first-class consumers of the environment, not an afterthought: sandboxes that spin up on demand, run in parallel, and are safe to hand a real repo.

- Support agents launched from an IDE, a CLI, or a Slack message - with no laptop required to review and ship what the agent did.

Collaboration & leadership

- Align teams that don't naturally sit adjacent to each other (e.g. Security, Infrastructure, Product Engineering) around unstructured, ambiguous problems where there's no existing playbook.

- Mentor engineers at all levels: run design reviews; raise the engineering bar through code review, pairing, and architectural guidance when appropriate.

- Help set the hiring bar: lead interview loops, help calibrate, and support onboarding of senior hires.