Software Engineer, Data Platform (Bengaluru)
Granica · Bengaluru Urban
CHECKED 2H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Design and scale core systems powering data workflows and analytics.
- Deep engineering role focused on infrastructure, not feature delivery.
- Help build exabyte-scale infrastructure for next-generation enterprise AI.
What they offer
- Meaningful equity
- Performance bonus for top performers
- 401(k) with company match
- Comprehensive health coverage
- Unlimited PTO
- Daily catered meals
- Support for research, publication and conference participation
Ideal candidate
A seasoned data-minded engineer with 5+ years building large-scale systems who thrives in fast-paced startups. You love deep infrastructure challenges, solving complex customer problems, and balancing scalability, reliability, and efficiency.
Requirements
- 5+ years in software/data engineering or infrastructure roles
- Strong Python skills with backend API experience
- Proven ability to build scalable data pipelines from scratch
- Hands-on with Apache Iceberg/Delta Lake and Snowflake/Databricks
- Workflow orchestration expertise with Airflow, Luigi or similar
- Experience with big data frameworks such as Spark and Hadoop
- Familiar with monitoring tools like Prometheus, Grafana, ELK, Datadog
- Experience designing scalable, reliable, cost-efficient distributed data architectures
- Thrives in fast-paced startup environments with strong problem-solving and customer-facing communication skills
Lab profile
About Granica
Builds efficiency and intelligence layer for enterprise AI on massive structured data
What they build
- Crunch for lakehouse optimization
- Large Tabular Models (LTMs) for structured data
- Myelin for efficient AI agents
Known for
- Exabyte-scale enterprise data infrastructure
- Foundation models for tabular data
- Diffusion-based generative modeling
Key facts
- Headquartered in Mountain View, CA