About the Role

As part of the Data Platform team, you'll build large-scale backend services and distributed data systems powering KreditBee's business operations and intelligence working on high-throughput, low-latency infrastructure that processes billions of events and transactions with high reliability. You'll collaborate closely with senior engineers to deliver well-architected, observable, resilient, and scalable components.

What We Expect From You
Architect and drive large-scale distributed systems, data platforms, and backend services that are highly available, cost-productive, secure, and extensible
Establish platform vision and evolve foundational frameworks with multi-tenant, self-serve, and platform-first thinking
Design for scale and resilience enforcing clean architecture, observability, fault tolerance, extensibility, and performance
Lead end-to-end initiatives from problem definition to production rollout, balancing business impact with long-term technical sustainability
Mentor and grow engineers (including Senior Engineers), setting technical direction and raising the quality bar
Make deep technical trade-offs explicit — connecting system internals, architectural decisions, and platform costs
Champion best practices in code quality, instrumentation, design patterns,



and cloud-native development
Influence cross-team architecture by partnering with product, infra, and data science
Drive innovation by identifying gaps, proposing bold solutions, and creating reusable building blocks
Demonstrate thought leadership by anticipating scale challenges and ensuring security/compliance.

Must Haves
Deep expertise in up-to-date data lake/warehouse and distributed data architectures — hands-on with Trino, Presto, Iceberg/Delta Lake, Spark, Kafka, and large-scale storage/compute separation
Coding proficiency in Golang or Python
Proven track record building and scaling multi-tenant data platforms, with awareness of cost efficiency, security, compliance, and operational excellence
Architectural intuition at scale — evaluating trade-offs between performance, latency, fault-tolerance, extensibility, and cost
Solid system internals knowledge (compilers, query engines, storage formats, distributed consensus, networking, JVM internals, or equivalent)
Hands-on leadership — mentoring senior engineers and driving adoption of engineering best practices

Mandate Skills:
Python
Snowflake
Trino
Iceberg
Golang

📌 Senior Platform Engineer Bengaluru
🏢 Krazy Bee Services
📍 Bengaluru