From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement… Collaboration: Work closely with product, business, and data science teams to identify requirements, set priorities, and build solutions that matter.
Define the strategy and roadmap for Razorpay’s data platform, ensuring it aligns with business and technology goals.
Design and implement fault-tolerant, high-availability distributed systems for data ingestion, processing, and analytics.
Hands-On Contribution: Step into coding when needed to solve complex problems or provide architectural guidance.
Establish and advocate for best practices in software development, deployment, monitoring, and incident management.
Proficiency in building and operating large-scale distributed systems.
Familiarity with ETL and Analytical Platform and event-driven architectures.
Expertise in Python, Scala, Golang, and SQL, with deep knowledge of distributed data systems.
Proven ability to design real-time and batch pipelines using Kafka, Spark, Airflow, and Flink.
Experience: Entry-level · 8+ years
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Bengaluru, KA, IndiaIndia & South Asia
Engineering Manager · Razorpay Software Private Limited
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