Bengaluru · On-site

Senior Software Engineer - Data Infrastructure

Full-timePosted 11 Nov

Salary: Not disclosed
Experience: 2–5 years
Eligible batches: 2021 – 2024
Location: BengaluruOn-site

About the role

Sarvam is looking for a Senior Software Engineer to own and evolve its central data platform. You will design, build, and operate ingestion pipelines, a ClickHouse‑based analytical warehouse, and self‑service data services that power all of Sarvam’s products. The role blends backend development, cloud infrastructure, and data‑engineering expertise.

Responsibilities

Develop and maintain the event ingestion service, handling schema validation, rate‑limiting, dead‑letter queues and client SDKs.
Design ClickHouse tables, materialised views and partitioning strategies, enforce per‑tenant isolation and cost attribution.
Create reliable data pipelines using dbt models and Airflow DAGs, manage CDC, back‑fills and data quality issues.
Expose a self‑serve data catalogue with ownership, freshness and access controls.
Run the platform in production with Terraform and Helm, monitor with metrics/traces, be on‑call and lead incident RCA.
Shape the roadmap for new data sources, sinks and platform capabilities as product needs evolve.

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Eligibility

2–5 years of experience building and operating large‑scale, data‑intensive systems.
Strong knowledge of an OLAP database (ClickHouse preferred) or event streaming (Kafka).
Proficiency in Go or Python.
Hands‑on experience with AWS, Kubernetes and Terraform.
Demonstrated ability to troubleshoot, write RCAs and document systems.

Skills

Go or Python programmingClickHouse (or comparable OLAP store)Kafka event streamingAvro data formatAirflow orchestrationDbt transformationsKubernetes container orchestrationTerraform infrastructure as codeAWS cloud services

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Asked for

Go
Python
Clickhouse
Kafka
Avro
Airflow
Dbt
Kubernetes
Terraform
AWS

Nice to have

RabbitMQ
Spark
SQL
Opentelemetry
LLM observability

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Benefits

Opportunity to shape core data infrastructure used by all product teams.
Exposure to modern cloud‑native stack and large‑scale data processing.
On‑call responsibility with full ownership of production systems.

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About Sarvam AI

AI-powered operations

11-50 employees · HQ Bengaluru, India

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