Principal Software Engineer - Data

• The semantic layer: entity models, ontology and knowledge graph, through to the APIs apps and agents query

• Data foundations: enterprise ingestion and data contracts, schema evolution, orchestration, storage and query

• Correctness and reliability in a multi-tenant product, including recovery from hard incidents

• Technical direction through RFCs, design reviews and your own code, and mentoring senior engineers

• Data platforms or semantic layers you personally built and owned in production: knowledge graphs, metadata or metrics layers, entity models

• First-principles systems reasoning: durability, failure and recovery, and where your design breaks at scale

• Something you built from zero at a startup and took to production scale

• You still write production code and work fluently with AI coding tools

• Clear communication and the presence to lead senior engineers without authority

Good to have: Property graphs or RDF/SPARQL; entity resolution or master data; Spark, Kafka, Flink or Iceberg; durable execution; systems-performance depth; supply-chain data.

Location: Bengaluru or Chennai, hybrid; returners welcome. Open to Europe for the right person.

How we hire: Recruiter screen, an exploration call with engineering leadership, then a deep dive on a system you built. Next, a take-home build using any AI tools you like, which you present to a senior engineering panel. We close with a leadership and values conversation.