About this role
About the Team
The Code Scalability team owns build systems and continuous integration across DoorDash. When a shared dependency changes or more teams contribute to a monorepo, the cost of building software can grow for everyone. We tackle that challenge with Bazel, Buildkite, and infrastructure that keeps everyday development efficient. Our work gives teams a dependable path from a code change to a completed build, with fewer delays and less infrastructure troubleshooting.
About the Role
As a Senior Software Engineer on Code Scalability, you will solve the engineering problems behind building software at DoorDash’s scale. A change deep in a monorepo can trigger work across many projects; your job is to make that work efficient, predictable, and easy to investigate when something goes wrong. Projects span Bazel configuration and tooling, Buildkite orchestration, build execution and caching, and the services that support them. You will identify where improvements matter most, make the technical decisions, and work with teams across DoorDash to put those changes into practice. The impact of this role extends to every team that depends on our platform. Shorter queues give engineers more time to iterate, dependable pipelines prevent interruptions, and useful diagnostics help them get back to their work. You will measure progress through those outcomes, alongside the cost and maintainability of the infrastructure you own.
You’re excited about this opportunity because you will…
• Evolve build and CI workflows for large monorepos, keeping feedback fast and changes manageable as dependencies, code volume, and the number of contributing teams grow.
• Develop Bazel rules, toolchains, and integrations that keep builds reproducible and make shared build infrastructure easier for teams to adopt across large monorepos.
• Improve Buildkite pipeline throughput and reliability by reducing queue times, addressing build bottlenecks, and making better use of CI compute capacity.
• Reduce redundant build work through dependency analysis, incremental builds, caching, and parallel execution, balancing developer feedback speed with infrastructure cost.
• Build developer tools that explain build failures and help engineers reproduce CI behavior locally, making troubleshooting faster and reducing support overhead.
• Rethink what a build and CI platform can do with AI: move beyond reporting failures toward intelligent diagnosis, PR triage, automated recovery, and guidance that helps developers move forward.
• Instrument and operate build and CI infrastructure. Use metrics and developer feedback to track latency, reliability, and resource usage, then address recurring infrastructure problems.
• Lead platform improvements from design through rollout, partner with engineering teams on migrations, and mentor teammates through technical decisions and code reviews.
We’re excited about you because…
• You have 5+ years of software engineering experience, inc