About the Role:

As in the Data Platform team, you'll play a critical role in building large-scale backend services and distributed data systems that power KreditBee’s business operations and intelligence. You'll work 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 components and services that are observable, resilient, and scale efficiently under real-world workloads. What We Expect From You: Architect and drive large-scale distributed systems, data platforms, and backend services that are highly available, cost-efficient, secure, and extensible Establish platform vision and evolve foundational frameworks with multi-tenant, self-serve, and platform-first thinking Design for scale and resilience – enforce principles of 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, raising the quality bar, and fostering a strong engineering culture Make deep technical trade-offs explicit – connect system internals, architectural decisions, and platform costs with clarity 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 to align long- term technical strategy with company goals Drive innovation by identifying gaps, proposing bold solutions, and creating reusable building blocks that accelerate multiple teams Demonstrate thought leadership by anticipating scale challenges, ensuring security/compliance, and contributing to future-readiness of the platform Must Haves: Deep expertise in up-to-date data lake/warehouse and distributed data architectures, with hands-on proficiency in Trino, Iceberg, Spark, Kakfa, Trino, Presto, Iceberg/Delta Lake, and large-scale storage/compute separation. Coding proficiency in golang or python. Proven track record of building and scaling multi-tenant data platforms, with awareness of cost efficiency, security, compliance, and operational excellence Architectural intuition at scale – capable of evaluating trade-offs between performance, latency, fault- tolerance, extensibility, and cost, and making decisions that stand the test of time Strong system internals knowledge (compilers, query engines, storage formats, distributed consensus, networking, JVM internals, or equivalent) and ability to explain them with clarity Hands-on leadership – ability to mentor senior engineers, drive adoption of engineering best practices, and raise the bar for architectural and operational excellence

Role Details Position: Senior Data Platform Engineer

Employment Type: Full-Time

Experience Level: 3-5 Years

Location: Bengaluru

Work Model: On-site

📌 Senior Data Platform Engineer (Bengaluru)
🏢 VMultiply
📍 Bengaluru