Engineering Manager

The Role:

manager

Engineering leader

You will play a critical role in shaping Razorpay s data architecture, fostering a high-performance culture, and delivering solutions that support millions of users and businesses

Roles and Responsibilities:

• Lead with Vision:

  Define the strategy and roadmap for Razorpay s data platform, ensuring it aligns with business and technology goals.



• Team Leadership:

  Build, mentor, and grow a high-performing engineering team by fostering a collaborative, open, and learning-oriented culture.



• Architect Scalable Systems:

  Design and implement fault-tolerant, high-availability distributed systems for data ingestion, processing, and analytics.



• Collaboration:

  Work closely with product, business, and data science teams to identify requirements, set priorities, and build solutions that matter.



• Hands-On Contribution:

  Step into coding when needed to solve complex problems or provide architectural guidance.



• Operational Excellence:

  Establish and advocate for best practices in software development, deployment, monitoring, and incident management.



• Foster Innovation:

  Drive initiatives to adopt new technologies and continuously improve Razorpay s data platform capabilities.



• Ownership:

  Take end-to-end ownership of projects, ensuring quality, scalability, and timely delivery.

Mandatory Qualifications:

Experience:

Technical Expertise:

• 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

  .


• 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).

Leadership Skills:

• 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.

Soft Skills:

Nice-to-Have:

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