Software Engineer, Full Stack - Experimentation Platform

DoorDash

• $130K — $192K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S., M.S., or Ph.D. in Computer Science or equivalent.
  • 2+ years of experience building web applications end-to-end with TypeScript and React.
  • Strong knowledge of CS fundamentals and OOP languages.
  • Deep understanding of REST/gRPC principles and API design.
  • Great grasp of database technologies and storage alternatives.
  • Backend experience with Java, Kotlin, Python, or Go.
  • Experience with testing methodologies across frontend and backend.
  • Product-oriented mindset in building platform services.

Responsibilities

  • Enhance and simplify the Experimentation platform utilized by engineers company-wide.
  • Build a new Experimentation platform from scratch, influencing system and product design.
  • Own features from APIs to the React UI, managing both frontend and backend.
  • Collaborate with Product Engineers, Data Analysts, and Data Scientists on essential projects.
  • Integrate advanced technologies like LLM-powered tools for experiment management.
  • Adapt the platform to new statistical methods and AI technologies.

Benefits

  • 401(k) plan with employer matching.
  • 16 weeks of paid parental leave.
  • Wellness benefits and commuter benefits match.
  • Comprehensive medical, dental, and vision benefits.
  • Paid time off and paid sick leave compliant with applicable laws.
  • 11 paid holidays annually.
  • Disability and basic life insurance included.
  • Family-forming assistance and a mental health program.
Full Job Description
About the Role

If you want to solve the toughest engineering challenges, build cutting-edge experimentation products under rigorous operational constraints (high volume, correctness guarantees) and work with some of the smartest people in the industry, DoorDash's Experimentation Platform is the right place for you. As a full stack engineer, you'll build across our backend services, SDKs, and the Decision Portal UI used by thousands of internal users. Come join us and be part of the mission.

You will report into the engineering manager on our Decision Experience team as part of the Decision Systems team. We expect this role to be hybrid (San Francisco, Sunnyvale, Seattle, New York) with some time in-office and some time remote.
What You'll Do
  • Work on dramatically enhancing and simplifying the Experimentation platform which is used by almost every engineer in the company.
  • Have the opportunity to build a new Experimentation platform from the ground up and make your mark on the system design as well as product experience.
  • Own features end-to-end, from APIs and data models to the React UI in our Decision Portal, context switching between frontend, backend, and data as the need arises.
  • Work alongside our Product Engineers, Data Analysts, Data Scientists, ML Engineers and Data Infrastructure engineers to collaborate on important projects that need user interfaces and tools needed for workflows, data discovery, integrations and visualizations of various analytics.
  • Introduce cutting-edge technologies, including LLM-powered tools, into how DoorDash configures, launches, and reads out experiments.
  • Evolve the platform to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques.
What We're Looking For
  • B.S., M.S., or Ph.D. in Computer Science or equivalent.
  • 2+ years of industry experience building web applications end-to-end, using TypeScript with React on the frontend.
  • Exceptionally strong knowledge of CS fundamental concepts and OOP languages.
  • Deep understanding of REST/gRPC principles and experience designing, implementing, and consuming backend APIs.
  • Great understanding of database technologies and choosing the right kind of storage layers for the problem at hand.
  • Backend experience with Java, Kotlin, Python, or Go.
  • Experience with documentation, unit, integration, and end-to-end testing across frontend and backend.
  • A product mindset that you apply to how you build platform services and user-facing tools.
  • Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) across the full software development lifecycle, including design, code generation, testing, monitoring, and release.
Nice to Have
  • Experience building internal tools, admin consoles, or developer platforms used across many teams.
  • Prior experience with the nuanced world of Experiment configurations and feature flagging products.
  • Experience with any of the "Big Data" technologies (e.g., Postgres, Redis, Elasticsearch, Snowflake, Mode, Segment, Spark, etc.).
  • Experience in any data-science related subjects such as analytics, statistics, machine learning, etc.

Familiarity with cloud-based environments such as AWS.

We expect this position to be filled by 28/11/2026

Compensation

The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

To learn more about our benefits, visit our careers page here.

See below for paid time off details:
  • For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
  • For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).


The national base pay range for this position within the United States, including Illinois and Colorado.

$130,600-$192,000 USD

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