Senior Software Engineer, Backend

DoorDash, Inc.

Pune District

On-site

INR 2,600,000 - 3,800,000

Full time

14 days+
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Job summary

DoorDash is seeking an experienced Data Platform Engineer for its Data User Platform and Programs team in India. The role offers high ownership and direct influence over the platform's architecture, working on reliability foundations, data discovery, and AI-powered workflows.

You will collaborate with product managers, data engineers, and analytics teams to deliver scalable, cost-efficient data solutions and maintain platform SLAs as part of a fast-moving product-driven environment.

Qualifications

  • The candidate has 6+ years of experience with CS fundamentals and at least one of Go, Java, or Python.
  • Experience with Big Data infrastructure, cost efficiency and governance.
  • Backend systems in production environments.
  • Experience building data platforms with a focus on reliability and observability.
  • Open-source data tooling is a plus (Spark, ClickHouse, Iceberg, Airflow).

Responsibilities

  • Improve scalability, performance, and reliability of data platform services.
  • Build and operate data discovery and metadata platforms.
  • Develop AI-enabled services and self-serve tooling for analytics and ops.
  • Add observability and operational tooling to meet platform SLAs.
  • Identify underutilized datasets and optimize compute resources.

Skills

Go programming
Java
Python
Big Data
Reliability
Cost governance

Education

B.E./B.Tech., M.E./M.Tech or Ph.D. in CS

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
  • 6+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python
  • 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
About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

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.

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

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