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Software Engineer, Backend

DoorDash
|Pune, India|18 May 2026
Experience Required
3-4 Years
Employment Type
Full-time
Target Batch
Any
Role Category
Backend
How to Apply
Apply on the company portal
Skills Recommended
GoJavaPythonBig Data infrastructureCost Efficiency & GovernanceSparkClickhouseIcebergAirflow
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About the job

Job Description

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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 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use 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 provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

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Candidate Guide

More than a copied JD: use this page to prepare before you apply.

DoorDash is hiring for Software Engineer, Backend in Pune, India. This page goes beyond the raw listing so students can understand what the role usually expects, how to prepare for screening, and how to apply more thoughtfully instead of forwarding a resume blindly.

GoJavaPythonBig Data infrastructureCost Efficiency & GovernanceSparkClickhouseIceberg

Company overview

DoorDash appears on Campus to Career because the opportunity is relevant for students and early-career candidates who want a clearer view of real hiring demand. When evaluating any employer, students should look beyond the brand name and focus on work quality, reporting structure, product maturity, mentorship, and the kind of ownership the team is likely to trust a new hire with.

A fresher or internship role at DoorDash can be valuable when the candidate understands what the business is solving and how the team contributes to that larger outcome. Even before the interview, students should try to learn the company domain, customer type, pace of execution, and whether the role sits close to product, platform, support, data, or delivery.

What this role usually means in practice

Software Engineer, Backend is likely not just a keyword match. In real hiring, titles often compress multiple expectations into one label. This means the student should read the listing as a signal of day-to-day problem solving, team collaboration, deadline discipline, and the ability to learn new workflows quickly.

The current role is listed as Full-time in Pune, India, with 3-4 Years mentioned on the page. For freshers, the most useful interpretation is: what kind of output will the team expect in the first 30 to 90 days, and what proof can the candidate show that they are ready to deliver it?

  • Understand the business problem the role supports
  • Map your projects to likely day-to-day work
  • Prepare one story about fast learning and one about ownership

Required skills and how to interpret them

The listing highlights skills such as Go, Java, Python, Big Data infrastructure, Cost Efficiency & Governance, Spark, Clickhouse, Iceberg. Students should not panic if they are not equally strong in every item. Companies often list an ideal stack, but interviewers usually look for transferable understanding, clarity of fundamentals, and a believable proof-of-work story.

A better preparation strategy is to sort skills into three buckets: already strong, interview-ready but shallow, and currently weak. This prevents overconfidence and also stops students from wasting time revising topics that are unlikely to matter during the first screening round.

  • Be ready to explain where you used Go in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Java in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Python in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Big Data infrastructure in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Cost Efficiency & Governance in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Spark in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Clickhouse in a project, coursework, internship, or self-study build.
  • Be ready to explain where you used Iceberg in a project, coursework, internship, or self-study build.

Eligibility and application readiness

Students should treat eligibility as more than just degree, batch, or marks. Real readiness also includes whether the resume supports the role clearly, whether your GitHub or portfolio can survive a quick recruiter scan, and whether your self-introduction makes logical sense for Software Engineer, Backend.

If the listing mentions a batch requirement, relocation, internship-to-full-time path, or communication expectations, make sure those details are reflected consistently in your resume, application form, and outreach message. Consistency is a major trust signal in early-stage screening.

  • Resume aligned to the role and keywords
  • Portfolio or GitHub links working correctly
  • Projects chosen based on role relevance, not just recency
  • Clear answer prepared for “Why this role?”

Salary insight and offer evaluation

The listing does not clearly publish compensation, which is common for fresher and early-career openings. Candidates should use peer benchmarks, city cost, and recruiter conversations to understand likely salary range before final acceptance.

For freshers, salary should be interpreted together with learning quality, tech exposure, mentorship, workload, location, and conversion or growth path. A slightly smaller offer with stronger ownership and cleaner learning loops may outperform a bigger offer that provides weak role fit or no meaningful skill depth.

Interview preparation tips for this job

Candidates applying for Software Engineer, Backend should prepare in layers. The first layer is role fit: why this company, why this role, and what proof supports your application. The second layer is technical or functional depth: the tools, concepts, or workflows most likely to appear in screening. The third layer is behavior and communication: clear explanations, honest ownership, and calm thinking when details are incomplete.

A strong practice method is to prepare a short project walk-through, a role-fit introduction, one debugging or challenge story, and a realistic answer to what you still want to learn. That combination usually performs better than memorizing long theoretical scripts.

  • Review two strongest projects deeply, not ten projects weakly
  • Prepare role-specific terminology and examples
  • Practice concise answers for HR and recruiter rounds
  • Revise fundamentals likely connected to the listed skills

Application strategy for better conversion

The best candidates do not just click apply. They adapt. Before submitting, update the top section of your resume, reorder projects if needed, and make sure your strongest evidence matches the narrative for Software Engineer, Backend. If the company uses an external portal, take form fields seriously because ATS filters often read those signals separately from the PDF.

If the route is recruiter email or a direct apply link, use that path professionally. Submit complete information, avoid spammy follow-up, and if you choose to reach out on LinkedIn, mention the role, one or two fit points, and a respectful ask. The goal is to make your application easier to trust, not louder.