Engineering Manager

The role

You will own the strategy and execution of complex data initiatives. You will lead a team of engineers to build scalable, low-latency, and fault-tolerant systems for analytics, AI/ML, and decision-making.

What you will do

• Define the strategy and roadmap for the data platform.
• Build, mentor, and grow a high-performing engineering team.
• Design and implement fault-tolerant, high-availability distributed systems.
• Work with product, business, and data science teams to build solutions.
• Provide hands-on coding and architectural guidance when needed.
• Establish best practices in software development, deployment, monitoring, and incident management.
• Drive initiatives to adopt new technologies.
• Take end-to-end ownership of projects.

Required qualifications

• 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 Platform and event-driven architectures.
• Expertise in Python, Scala, Golang, and SQL.
• 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).
• Ability to inspire and lead teams while fostering a culture of accountability and excellence.
• Experience in performance management, hiring, mentoring, and coaching engineers.
• Exceptional communication, decision-making, and problem-solving abilities.

Nice to have

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

About the company

Razorpay is a full-stack financial technology company that powers businesses to move, manage, and grow money. It is a fintech powerhouse with operations across India, Singapore, and Malaysia.