This role pays more than
85%
of similar roles. Most pay
$136,781–$177,262
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$157k
for comparable roles.
Based on 240 similar postings.
Employer
About DoorDash, Inc
DoorDash, Inc. is an American company operating online food ordering and food delivery. It trades under the symbol DASH. With a 56% market share, DoorDash is the largest food delivery platform in the United States.
DoorDash, Inc currently has
187 open roles
on FindRole.
Listed pay typically runs
$148,200–$218,000
across 164 roles with salary data.
Software Engineer, Code Quality joins the Developer Platform organization to build and maintain systems that keep the codebase healthy and secure as it scales. This role focuses on creating tools for static analysis, quality gates, test frameworks, coverage reporting, and regression infrastructure. The engineer will design automation to derive trustworthy quality signals like flakiness, pass rates, and performance while integrating these into developer workflows and CI/CD pipelines. Day-to-day responsibilities include improving local development, debugging, and rollout processes while exploring how AI agents can automate quality checks. Candidates should possess experience in software quality infrastructure, test automation, build systems, and CI/CD infrastructure. Proficiency with AI coding tools such as Claude Code, Codex, or Cursor is required to solve complex problems regarding code reliability and developer productivity across the engineering organization.
What does a Software Engineer earn in California?
Median $214000 from 778 postings across 66 companies.
Build and maintain quality tooling including static analysis, quality gates, test frameworks, and regression infrastructure.
Integrate quality tools directly into developer workflows and CI/CD pipelines.
Define and derive critical quality signals such as flakiness, pass rates, coverage, and performance.
Develop tools to improve daily engineering tasks like local development, debugging, and rollouts.
Explore and implement AI agents and tools to automate the creation of quality checks.
Analyze real engineering usage data to measure the impact of automated tools.
Identify and resolve technical bottlenecks for internal engineering, product, and QA teams.
What we're looking for
You must be located in San Francisco, Sunnyvale, Los Angeles, Seattle, or New York City.
Experience building software quality infrastructure, test automation, build systems, CI/CD infrastructure, or developer productivity tooling is required.
A strong debugging track record and experience shipping changes that measurably improve engineering workflows are required.
You must communicate clearly and partner effectively across functions with engineers, product managers, and QA teams.
Ability to work through ambiguous, cross-team problems and reach solutions with minimal guidance is required.
Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) throughout the full software development lifecycle is required.