Staff Software Engineer, Dev Environments

As a Staff Engineer in Dev Environments, you will shape the architecture and roadmap for a scalable developer experience across thousands of engineers. You’ll lead cross-team initiatives spanning local and remote dev flows, devcontainers, IDE/backend work, and AI-enabled workflows. You’ll mentor engineers, influence senior stakeholders, and set technical direction for an organization-wide tooling strategy. This role blends hands-on delivery with strategic leadership to remove friction and accelerate engineering velocity.

• competitive salary and equity options
• high-ownership, low-hierarchy culture
• focus on meaningful, large-scale impact
• opportunity to work across multiple brands (DoorDash, Deliveroo, Wolt)
• continuous learning and challenging problems
• flexible working culture

• Define architecture for local/remote dev containers, remote IDE lifecycle, and end-to-end dev loop across multiple brands
• Build and standardize monorepo dev tooling at scale for the DoorDash umbrella
• Provision production-like environments quickly with scalable, secure, cost-aware remote machines
• Invent new approaches and adapt industry-leading practices to hard, unsolved problems
• Design environments as AI-friendly sandboxes with on-demand spin-up and safe parallel execution
• Support agents via IDE, CLI, or Slack without requiring laptops for review and shipping outcomes
• Align cross-functional teams (Security, Infrastructure, Product Engineering) around ambiguous problems
• Mentor engineers through design reviews, pairing, and architectural guidance; influence hiring and onboarding for senior roles

• Track record shipping production systems and leading cross-team initiatives with group-level impact
• Hands-on fluency in Go, Python, TypeScript and infrastructure-as-code (Terraform)
• Experience managing compute with Kubernetes (multi-tenant, autoscaling) or lightweight VM/sandbox tech (e.g., Firecracker)
• Knowledge of cloud networking, secure cross-boundary traffic routing (VPNs, service meshes)
• Experience integrating LLM/AI tooling into developer workflows (e.g., Claude Code)
• Excellent written and verbal communication; ability to influence senior stakeholders without formal authority
• Experience partnering with engineering teams that consume your platform

• Excellent communication and stakeholder management
• Mentoring and leadership at multiple levels
• Cross-functional collaboration and diplomacy
• Go
• Python
• TypeScript