Software Engineer, Backend

DoorDash; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

DoorDash is building a founding engineering team in India to enhance a 24x7 data platform powering our global delivery network. You will own data infrastructure, discovery, and AI-enabled workflows, collaborating with product managers and analytics teams to deliver scalable, reliable services.

The role emphasizes ownership, growth, and shaping long-term architecture in a fast-moving product environment.

Qualifications

• CS fundamentals with 3+ years of experience in software engineering
• Proficiency in Go, Java or Python
• Experience using AI coding tools across the full SDLC
• Background in Big Data infrastructure and governance
• Experience building backend systems in production environments

Responsibilities

• Improve scalability, performance, and reliability of data platform services
• Build and operate data discovery and metadata platforms
• Develop AI-enabled services and workflows for analytics and ops
• Add observability and operational tooling to maintain SLAs
• Drive cost-efficient data platform design and resource optimization
• Embed cost signals and enable safe data deprecation and cleanup

Skills

Go

Java

Python

AI coding tools

Big Data infra

Education

BE/B.Tech., ME/M.Tech, or Ph.D. in Computer Science or equivalent

Tools

Spark

ClickHouse

Iceberg

Airflow

Job description

About the Team

Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on experienced engineers to help us further our 24x7, global infrastructure system that powers DoorDash's three-sided marketplace of consumers, merchants, and dashers.

About the Role

The Data User Platform and Programs team works at the intersection of data infrastructure, reliability, governance, developer tooling and AI systems, supporting thousands of internal data users including engineers, analysts, data scientists and business stakeholders.

This role is part of a founding engineering team in India, offering 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

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're 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, including:
  • Designing systems that encourage reuse over duplication
  • Instrumenting usage and cost signals into platform services
  • Supporting safe deprecation and cleanup of stale data assets
• Partner with cross-functional teams in a fast-moving, product-driven environment

We're excited about you because…

• B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent
• 3+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
• You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
• Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance, you've built meaningful pieces of data infrastructure. Bonus if those were open-sourced 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

If you need any accommodations, please inform your recruiting contact upon initial connection.

To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.