Software Engineer, Backend

Round 1: Technical interview – coding and system design (30‑45 min) → Round 2: Technical deep dive – data platform architecture and problem solving (45‑60 min) → Round 3: HR interview – culture fit and career goals (30 min)

The platform promotes a collaborative environment where engineers are encouraged to experiment and innovate. Continuous learning and cross‑functional teamwork are core values, and the company supports a healthy work‑life balance with flexible schedules and remote options.

Candidates typically go through three rounds: a coding and system design interview, a technical deep dive focused on data platform architecture, and an HR interview. The coding round tests data structures, algorithms, and language proficiency, while the system design round evaluates scalability, reliability, and cost‑efficiency considerations. Interviewers often ask about past projects involving big data, observability, or AI tooling. Preparation should include coding practice, system design mock interviews, and reviewing recent data platform trends.

Bachelor’s (B.E./B.Tech.) or Master’s (M.E./M.Tech.) or Ph.D. in Computer Science or equivalent. Minimum 3+ years of professional experience in software engineering. Proficiency in at least one of Go, Java, or Python. Experience with AI coding tools and big‑data infrastructure is preferred. No backlog policy applies.

DoorDash is a leading technology and logistics company that has transformed the way people order food and goods. With a mission to empower local economies, DoorDash operates a three‑sided marketplace that connects consumers, merchants, and delivery partners (Dashers) through a sophisticated on‑demand platform. The company’s global infrastructure runs 24/7, handling millions of transactions every day and continuously scaling to meet growing demand. The Backend Software Engineer role is part of the Data User Platform and Programs team in Pune. This founding engineering team is responsible for building the backbone of DoorDash’s data ecosystem, ensuring reliability, observability, and cost efficiency across the platform. Engineers here work on foundational services that support data discovery, metadata cataloging, AI‑powered assistants, and operational tooling. The role offers high ownership, direct influence on long‑term architecture, and a clear path for career growth. Key responsibilities include: 1. Designing and improving scalable, reliable data platform services. 2. Building and operating data discovery and metadata catalog experiences. 3. Developing AI‑enabled workflows and self‑serve tooling for analytics. 4. Adding observability, monitoring, and operational tooling to maintain SLAs. 5. Driving cost‑efficient data platform design by identifying underutilized resources. 6. Embedding cost awareness into the data lifecycle and encouraging reuse. 7. Instrumenting usage and cost signals into platform services. 8. Supporting safe deprecation and cleanup of stale data assets. 9. Collaborating with product managers, data engineers, and analytics teams. 10. Participating in incident response and continuous improvement. Tech stack: Go, Java, Python, Spark, ClickHouse, Iceberg, Airflow, and various observability tools. Growth path: From Backend Engineer to Senior Engineer, Lead Engineer, and eventually Platform Architect or Engineering Manager. Why join DoorDash? You’ll work on cutting‑edge data infrastructure that powers a global marketplace, have the chance to influence product direction, and benefit from competitive compensation and a culture that values innovation, diversity, and work‑life balance.