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About the role
As a part of the founding engineering team in India at DoorDash, you will have high ownership, strong growth opportunities, and direct influence over the platform's long-term architecture. You will work on systems such as: - Platform foundations for reliability, observability, cost-efficiency, and compliance - A unified data discovery and catalog experience - AI-powered assistants and workflows for analytics and operations In this role, you will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. You will be excited about this opportunity because you will: - Improve scalability, performance, and reliability of data platform services through strong engineering practices - Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently - Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants - Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time - Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources - Embed cost awareness into the data lifecycle by designing systems that encourage reuse over duplication, instrumenting usage and cost signals into platform services, and supporting safe deprecation and cleanup of stale data assets - Partner with cross-functional teams in a fast-moving, product-driven environment You will be a great fit for this role because you have: - B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent - 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python - Proficiency in using AI coding tools in the full software development lifecycle - Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance - Experience improving efficiency, scalability, and stability of data platforms - Experience building or operating backend systems in production environments About DoorDash: DoorDash's mission is to empower local economies and shape how team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for a range of users. They are a technology and logistics company looking for team members who can help them go from a food delivery company to a one-stop-shop for all goods. DoorDash is committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks. They are also committed to growing and empowering a more inclusive community within the company, industry, and cities by hiring and cultivating diverse teams. If you need any accommodations during the hiring process, please inform your recruiting contact upon initial connection. As a part of the founding engineering team in India at DoorDash, you will have high ownership, strong growth opportunities, and direct influence over the platform's long-term architecture. You will work on systems such as: - Platform foundations for reliability, observability, cost-efficiency, and compliance - A unified data discovery and catalog experience - AI-powered assistants and workflows for analytics and operations In this role, you will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. You will be excited about this opportunity because you will: - Improve scalability, performance, and reliability of data platform services through strong engineering practices - Build and operate data discovery and metadata platforms that help users find the right datasets, dashboards, and metrics quickly and confidently - Develop AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants - Add observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time - Drive cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources - Embed cost awareness into the data lifecycle by designing systems that encourage reuse over duplication, instrumenting usage and cost signals into platform services, and supporting safe deprecation and cleanup of stale data assets - Partner with cross-functional teams in a fast-moving, product-driven environment You will be a great fit for this role because you have: - B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent - 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python - Proficiency in using AI coding tools in the full software developmen
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