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DoorDash
DoorDash Software Engineer, Backend Recruitment 2026: Apply Online for 1 Vacancies
Software Engineer, Backend
Experience Required
3+ years
Salary / Package
null
Work Mode
null
Openings
1
Job Overview
- Role: Software Engineer, Backend
- Company: DoorDash
- Focus Areas: Platform foundations for reliability, observability, cost-efficiency, and compliance; unified data discovery and catalog experience; AI-powered assistants and workflows for analytics and operations.
- Key Responsibilities: Improve scalability, performance, and reliability of data platform services through strong engineering practices. Build and operate data discovery and metadata platforms to help users find data 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 resources and embedding cost awareness into the data lifecycle. Partner with cross-functional teams in a fast-moving, product-driven environment.
- Technical Skills: Proficiency in at least one of Go, Java, and Python. Experience with AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle. Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, preferably with open-source technologies like Spark, Clickhouse, Iceberg, and Airflow. Experience improving efficiency, scalability, and stability of data platforms. Experience building or operating backend systems in production environments.
- Educational Background: B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent.
- Experience Level: Mid-Senior level, requiring 3+ years of experience with CS fundamental concepts.
- Work Environment: Fast-paced, product-driven, and collaborative.
- Impact: Contribute to critical data platform services that underpin DoorDash’s operations and AI initiatives.
Key Job Details
| Company Name | DoorDash |
| Job Role | Software Engineer, Backend |
| Experience | 3+ years |
| Salary Range | null |
| Job Type | Private |
| Work Mode | null |
| Openings | 1 |
| Job Location | Pune Division, Maharashtra, India |
Key Responsibilities
[“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, including 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.”]
Requirements & Qualifications
[“B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent.”, “3+ years of experience with CS fundamental concepts.”, “Experience with at least one of the programming languages: Go, Java, and Python.”, “Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) 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.”]
Required Skills
[“Go, Java, Python”, “AI Coding Tools (Claude Code, Codex, Cursor)”, “Big Data Infrastructure (Spark, Clickhouse, Iceberg, Airflow)”, “Cost Efficiency & Governance”, “Backend Systems Development”, “Data Platform Services”, “Observability and Monitoring”, “System Design”, “Algorithms and Data Structures”, “Cloud Computing”]
About DoorDash
DoorDash is a technology company that connects consumers with their favorite local businesses. Founded in 2013, DoorDash operates in the United States, Canada, Australia, and Japan. The company’s platform offers a wide range of services, including food delivery, grocery delivery, and convenience store delivery. DoorDash is committed to building a platform that empowers local economies and provides opportunities for merchants, consumers, and delivery partners.
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Frequently Asked Questions
Disclaimer: This job post is prepared by collecting data from the official career page of DoorDash. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.
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