Wellfound’s editor often strips markdown and only respects plain line breaks and simple bullets. Paste this version instead: About Data Brain Data Brain 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 Saa S 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 Data Brain’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., Click House, Snowflake, Big Query, Redshift) is a strong plus.
Experience designing and maintaining production APIs (REST and/or Graph QL), 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.
