Senior Software Engineer - Data Infrastructure
Sarvam AI (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, own, and run the central data infrastructure platform that supports ingestion, streaming, analytical data warehouse, transformations, access control, and audit for multiple products.
- Manage event ingestion services including Kafka pipelines to load data into ClickHouse within seconds, ensuring schema validation, rate limits, and dead-letter handling.
- Operate and optimize the ClickHouse Cloud warehouse with table design, multi-tenant isolation, cost attribution, and build reliable data pipelines with dbt and Airflow; handle production incidents end to end.
Minimum Requirements
- 2–5 years of experience building and running large-scale data-intensive production systems, preferably in startups with ownership and on-call duties.
- Deep expertise in at least one: OLAP databases (ClickHouse preferred) or Kafka/event streaming systems, including understanding of core data system challenges (schema evolution, idempotency, backpressure, retention, CDC).
- Proficient in Go or Python programming.
- Experience with AWS, Kubernetes, and Terraform in production environments.
Ideal Candidate Profile
- Strong hands-on experience owning and running real-time data pipelines and analytical warehouses, with operational on-call responsibility for platform stability.
- Technical depth in ClickHouse or Kafka internals and large-scale message/event system architecture, enabling design decisions on database internals and streaming platform design.
- Experienced in collaborating with BI teams to build complex data transformation DAGs and providing self-serve data platform capabilities with multi-tenant access control and cost attribution.