Embedded Infrastructure Engineer, Chanakya

The role

Embedded Infrastructure Engineers design, build, and maintain data infrastructure for AI system deployments at client sites. You will build and operate data platforms that handle terabyte-scale persistent data stores and large daily ingestion volumes.

What you will do

• Design and operate data storage architectures capable of managing terabyte-scale datasets across multiple modalities
• Build and maintain ingestion pipelines for batch and streaming workloads
• Implement indexing, partitioning, and query optimisation strategies
• Work with Embedded Data Scientists to translate ontologies, schemas, and semantic structures into physical data models
• Deploy and manage database systems, vector stores, and search infrastructure in air-gapped, on-premise, or security-constrained environments
• Build observability into the data platform
• Own capacity planning and scaling decisions for data infrastructure
• Collaborate with product and engineering teams to feed infrastructure learnings back into the core platform

Required qualifications

• 4–8 years in data infrastructure, data engineering, platform engineering, or site reliability engineering
• Direct experience managing multi-terabyte data stores (10TB+ of persistent data and sustained high-throughput ingestion)
• Deep working knowledge of at least two of: PostgreSQL, MongoDB, Elasticsearch, ClickHouse, or comparable systems
• Experience building production data ingestion pipelines using Apache Kafka, Apache Spark, Airflow, Flink, dbt, or equivalent frameworks
• Strong proficiency in Python and/or Go
• Solid understanding of storage systems and formats: object storage (S3/MinIO), columnar formats (Parquet, ORC)
• Familiarity with containerisation and orchestration (Docker, Kubernetes) in production settings
• Experience with infrastructure-as-code and deployment automation (Terraform or similar)

Nice to have

• Experience with vector databases or embedding stores (Milvus, Weaviate, Qdrant, pgvector, or similar)
• Experience deploying and operating infrastructure in air-gapped, on-premise, or hybrid environments

About the company

Sarvam is building the bedrock of Sovereign AI for India by developing a full-stack sovereign AI platform. The company works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures.