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# Senior Software Engineer, Build Systems & CI

- **Company:** DOORDASH, INC.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $159,800 - $235,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Systems Engineering, Code Review, Continuous Integration, Software Debugging, Programming Tools, Python (Programming Language), Software Construction, Software Engineering, Systems Integration, Toolchain, Caching, Kotlin, Build Tools, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-build-systems-ci-new-york-ny--b2f39527-924f-400f-80ce-b4a3fbd057b6

## About the Role

Software Engineering, Systems Engineering, Continuous Integration, Identify Issues, System Integration (SI), Machine Tool, Software Engineering, Caching, Problem Solving Skills, Analysis Skills, * You have 5+ years of software engineering experience, including building developer infrastructure, build systems, or CI platforms.

 * You write maintainable production software in a language such as Go, Java, Kotlin, or Python, and bring strong debugging and software design skills.
 * You have experience with build or CI systems at scale and can reason about dependencies, incremental builds, caching, and distributed execution. Experience with Bazel, Buildkite, or large monorepos is especially relevant; comparable tools and environments count too.
 * You have led technical projects across teams, made practical design tradeoffs, and carried changes through rollout and operational ownership.
 * You approach internal platforms as products: you listen to developers, make workflows easier to adopt, and judge success by the problems you solve for them.
 * You can investigate performance and reliability problems across multiple components, use evidence to find the cause, and choose solutions that stay understandable as the system grows.
 * You improve how a team works through mentorship, clear communication, and automation that removes repetitive work.

## Description

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., * 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.