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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Full Stack - Experimentation Platform - **Company:** DOORDASH, INC. - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $130,600.0 - $192,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Cloud Computing, Code Generation, Databases, Data Discovery, Data Infrastructure, Data Mining, Cursor, Elasticsearch, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Machine Learning, Redis, E2e Testing, Oop Languages, Software Engineering, Systems Integration, TypeScript, ReactJS, Large Language Models, Claude Code, Snowflake, Apache Spark, AI Coding Agents, Backend, Kotlin, Information Technology, Front End Software Development, Web Api - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-engineer-full-stack-experimentation-platform-seattle-wa--7892a399-ff9d-4102-aa94-677e4cff43bb ## About the Role Software Engineering, Data Science, Product Engineering, Analysis Skills, Internet Statistics, Statistics, Product Support, Logistics, User Interface/Experience (UI/UX), Engineering Management, * 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. ## Description 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., We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.