Software Engineer – Platform

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About DataBrain

DataBrain is an AI-powered embedded analytics platform that helps modern software companies ship powerful in-product analytics, dashboards, and reporting in days instead of months. We work with SaaS teams from fast-growing startups to global enterprises, helping them unlock new revenue and improve customer experience with world-class analytics.

What you’ll do

• Design and build core platform services that power DataBrain’s embedded analytics engine (query execution, caching, permissions, multi-tenant infra).
  
• Own end-to-end backend features: schema and API design, implementation, testing, observability, and rollout.
  
• Work closely with the founders and product to shape the technical roadmap and translate customer needs into robust platform capabilities.
  
• Improve performance and reliability across the stack: query latency, cost efficiency, data freshness, and SLAs.
  
• Establish and evolve engineering best practices: code quality, security, monitoring, on-call, and incident response.
  
• Collaborate with frontend engineers to design clean contracts between APIs and UI, and deliver a great developer experience for our customers’ teams.

What we’re looking for

• 3–7 years of experience as a backend / platform / infrastructure engineer in a product company.
  
• Strong programming skills in Python, Go, or Node.js (we are flexible on language if your fundamentals are solid).
  
• Hands-on experience with cloud infrastructure (AWS/GCP/Azure), containers (Docker), and orchestration (Kubernetes or equivalents).
  
• Solid understanding of relational databases and data modeling; exposure to analytical databases (e.g., ClickHouse, Snowflake, BigQuery, Redshift) is a strong plus.
  
• Experience designing and maintaining production APIs (REST and/or GraphQL), authentication/authorization, and multi-tenant systems.
  
• Comfort with performance tuning, debugging distributed systems, and working with observability tools (logs, metrics, traces).
  
• Bias for shipping, ownership mindset, and comfort working in a fast-moving startup environment.

Nice to have

• Experience building analytics, BI, or data platform products.
  
• Experience with event-driven architectures (Kafka, Pub/Sub, Kinesis) and data pipelines.
  
• Prior startup experience or working closely with product and customers.

How we work

• Location: Chennai (preferred), with overlap to IST working hours.
  
• Small, senior team with high ownership and direct collaboration with the founders.
  
• Opportunity to influence architecture, product direction, and early culture.