Engineering Manager

About the role

Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow. 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 faster, safer, and more efficient.

What you'll do

• Architect Scalable Systems: Design and implement fault-tolerant, high-availability distributed systems for data ingestion, processing, and analytics
• Drive the architecture and roadmap of large-scale data platforms, ensuring alignment with business goals
• Lead a team of high-performing engineers to build scalable, low-latency, and fault-tolerant systems

What you need

• 8–14 yrs of experience
• SQL
• Python
• AWS
• Kafka
• Kubernetes
• Docker
• Any graduate

Good to have

• Machine learning
• ETL
• GCP
• MLOps
• Performance management
• Scala