Senior Software Engineer - Data Infrastructure

About the Role

THE ROLE Sarvam's products produce events, model traces, evals and billing data, and need to read that data back. The Data Platform team builds and runs the central data infrastructure every product uses: ingestion, streaming, the analytical warehouse, transformations, access control and audit. We are hiring a Software Engineer / Senior Software Engineer (2–5 years of experience) to own this platform end to end. You will design, build and run systems that other teams depend on in production, and make real decisions on database internals, streaming and platform design. Stack: Go/Python, ClickHouse Cloud, Kafka, Avro, Airflow, dbt, Kubernetes, Terraform, AWS. WHAT YOU'LL OWN & DO - Build and run the ingestion path: the service every product sends events to, Kafka behind it, and the pipes that land data in ClickHouse within seconds. Own schema validation, rate limits, dead-letter handling and the client SDKs. - Own the warehouse: ClickHouse Cloud. Design tables for the read path (sorting keys, partitions, materialized views, TTL), separate compute per workload, set per-user limits and per-tenant isolation, and attribute cost to the team that spent it. - Build reliable data pipelines and solve data problems: dbt models and Airflow DAGs with the BI engineers, CDC from product databases, sync and backfill jobs that are safe to re-run, and the data problems product teams bring you, such as a late source, a number that doesn't match or a query that has slowed down. - Make the platform self-serve: a registry of every dataset with its owner, schema, freshness and access; provisioning and permissions as code. - Run it in production: everything as Terraform and Helm with metrics, traces and alerts; be on call; handle incidents end to end, write the RCA and fix the root cause. - Grow the platform: new products keep arriving. You will help decide what the platform should do next and build it, whether that is a new source or sink, or a new way for teams to use the d

Key Responsibilities

• Build and run the ingestion path: the service every product sends events to, Kafka behind it, and the pipes that land data in ClickHouse within seconds. Own schema validation, rate limits, dead-letter handling and the client SDKs.
• Own the warehouse: ClickHouse Cloud. Design tables for the read path (sorting keys, partitions, materialized views, TTL), separate compute per workload, set per-user limits and per-tenant isolation, and attribute cost to the team that spent it.
• Make the platform self-serve: a registry of every dataset with its owner, schema, freshness and access; provisioning and permissions as code.
• Run it in production: everything as Terraform and Helm with metrics, traces and alerts; be on call; handle incidents end to end, write the RCA and fix the root cause.
• Grow the platform: new products keep arriving. You will help decide what the platform should do next and build it, whether that is a new source or sink, or a new way for teams to use the d

Requirements & Qualifications

• Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

• Official mentor support
• verified hiring timeline
• and career progression.