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ML Engineer (Integration - Azure iPaas)

Chennai, Hyderabad, Bangalore
Job Description
ML Engineer (Integration - Azure iPaas)
Location : Chennai / Hyderabad / Bangalore (Hybrid)

About the role:
  • Lead cross-functional technical teams across distributed systems, program management, app engineering and product teams while working on all aspects of design, development and delivery of machine learning enabled end-to-end integration pipelines and solutions.
  • Design and architect microservices,integration services  to support the full SDLC right from Development to Deployment.
  • Proficiency in Azure iPaas  (Azure Service Bus ,Logic Apps , Azure Data Factory, Azure Functions  ) is mandatory.
  • Proficiency in any integration technologies like Kafka and Mulesoft etc.
  • Build scalable micro services architectures than can handle high volume data requests and high concurrency.
  • Architect solutions for High Availability, Low Latency and High Throughput.
  • Improve system reliability-Troubleshoot and investigate any identified issues.
  • Build reusable patterns, libraries, and perfect test cases to introduce highly reliable and scalable application platforms.
  • Writing high-performance, reliable, and maintainable code.
  • Interface with various interactive services and clients including web and mobile applications.

Desired Skills and Experience: 3  - 6 Years experience
Core
  • Experience in leading a team as well as handling customer stakeholders
  • Hands on experience in building scalable solutions using microservices & deployment of integration services in production
  • Excellent programming skills in Python, a good understanding in Java / Go is a plus.
  • Proficiency in Azure iPaas  (Azure Service Bus ,Logic Apps , Azure Data Factory,Azure Funcitons  ) is mandatory ,proficiency in AWS iPaas is a plus
  • Proficiency in any open source integration technologies ,kafka,Mulesoft  etc
  • Experience in Test driven Development
  • Expert knowledge of building and maintaining in Production
  • Experience in cloud - AWS/Azure/Google is mandatory
Frontend
  • Experience is creating reusable components and libraries(React ,Angular etc)
  • Experience is optimizing the performance of the web applications