Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS)
Wolters Kluwer (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 18–30 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate intelligent, automation-first cloud platforms across AWS and Azure leveraging AI to replace manual cloud operations with scalable, policy-driven execution.
- Own full lifecycle of cloud platforms including design, build, operation, optimization, and decommissioning with focus on reliability, governance, security, and resilience via code and automation.
- Lead high-level troubleshooting, root cause analysis, and reliability improvements while serving as technical bridge across Engineering, Cloud Operations, Security, and Architecture teams.
Minimum Requirements
- Bachelor's degree in Computer Science or related field.
- More than 5 years of experience in Cloud Operations, DevOps, or Infrastructure Engineering.
- Strong hands-on expertise in AWS and Azure at enterprise scale; advanced Terraform proficiency; Python scripting skills.
- Applicant may need to appear onsite; use of AI assistance in interview or virtual backgrounds prohibited as part of integrity policy.
Ideal Candidate Profile
- Experienced in engineering automation-first and AI-augmented cloud operational workflows at enterprise scale across multi-cloud environments.
- Demonstrates strong architectural and systems design skills combined with deep operational ownership and continuous improvement mindset.
- Comfortable working independently and influencing cross-functional teams, with ability to establish standards and technical leadership in cloud ops and software engineering convergence.