Engineering Manager

Overview

Lead the strategy, architecture and execution of Razorpay's data platform, building and managing a high-performing engineering team that delivers scalable, low-latency, fault-tolerant data systems.

What you'll do

• Define the strategy and roadmap for Razorpay's data platform, aligned with business and technology goals.
• Build, mentor and grow a high-performing engineering team by fostering a collaborative, open, and learning-oriented culture.
• Design and implement fault-tolerant, high-availability distributed systems for data ingestion, processing and analytics.
• Work closely with product, business and data science teams to identify requirements, set priorities and build solutions.
• 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.
• Drive initiatives to adopt new technologies and continuously improve data platform capabilities.
• Take end-to-end ownership of projects, ensuring quality, scalability and timely delivery.

What you'll need

• 8+ years of professional experience in software/data engineering.
• At least 2+ years managing high-performing teams.
• Proficiency in building and operating large-scale distributed systems.
• Familiarity with ETL and analytical platforms 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.
• Extensive experience working with cloud platforms (AWS, GCP, Azure) and tools like Terraform, Kubernetes and Docker.
• Strong knowledge of MLOps frameworks (MLflow, TFX) and data governance tools (DataHub, Amundsen).
• Proven ability to inspire and lead teams while fostering a culture of accountability and excellence.
• Exceptional leadership skills with a proven ability to mentor engineers, lead projects and work cross-functionally.
• Experience in performance management, hiring, mentoring and coaching engineers.
• Strong collaboration skills with cross-functional teams and stakeholders.
• Exceptional communication, decision-making and problem-solving abilities.

Nice to have

• Experience with AI/ML platforms and financial systems data platforms.

Details

• Location: Bangalore.