Senior Enterprise Cloud Software Engineer (cloud Operations, Ai Engineering, Azure & Aws)

Wolters Kluwer

Chennai, India
Hybrid
Enterprise-scale aws and azure expertise
Python-first cloud platform development
Infrastructure-as-code with terraform
This role transforms cloud operations from reactive support into proactive, software-defined platforms by fusing software engineering rigor with operational ownership

Job Summary

  • This role transforms cloud operations from reactive support into proactive, software-defined platforms by fusing software engineering rigor with operational ownership.
  • You will design systems that are secure, observable, resilient, and self-optimizing by default while embedding governance, security, and reliability directly into cloud services through code and automation.
  • The position involves leading L3/L4 troubleshooting, applying AI-driven intelligent operations, and driving continuous improvement and operational excellence across enterprise cloud platforms.

Matching Summary

This role transforms cloud operations from reactive support into proactive, software-defined platforms by fusing software engineering rigor with operational ownership.

Skills & Requirements

Must-have

  • Enterprise-scale AWS and Azure expertise
  • Python-first cloud platform development
  • Infrastructure-as-Code with Terraform
  • Cloud-native automation and APIs
  • AI-assisted cloud operations
  • CI/CD pipeline design and maintenance
  • Multi-cloud high-availability architectures

Nice-to-have

  • Mentorship and technical leadership
  • Collaboration with Security and Architecture teams
  • AI and ML integration in operational workflows
  • Strong architectural and systems design skills
  • Operational excellence and reliability engineering

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • More than 5 years of Cloud Operations or DevOps experience
  • Advanced AWS and Azure certifications preferred
  • Terraform Associate certification
  • Experience operating large-scale AWS and Azure environments
  • Hands-on AI-based automation experience highly desirable

Work Rights

Not specified

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