Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS) at Wolters Kluwer | TopGenAIJobs

Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS)

Wolters Kluwer

Chennai

5+ years

Today

₹23–44 LPA

Full-time

Onsite

Skills Required

LLM

Gen AI

Python

FastAPI

Django

Flask

AWS

Azure

Terraform

Ansible

ARM/Bicep

CloudFormation

Docker

Kubernetes

AKS

Description

We are seeking a Senior Enterprise Cloud Software Engineer skilled in automation engineering, artificial intelligence, and cloud operations.

Company: Wolters Kluwer

Role: Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS)

Location: IND - Chennai, Neville Towers (remote type: On-site, Full time)

Experience:

More than 5 years of Cloud Operations, DevOps, or Infrastructure Engineering
Hands-on experience in AI-based automation is highly desirable
Proven experience operating large-scale AWS and Azure environments

Key Skills:

Python
FastAPI
Django
Flask
Azure SDKs
AWS SDKs
Terraform
Ansible
ARM/Bicep
CloudFormation
Docker
Kubernetes
AKS
EKS

Qualification:

Bachelor's degree in Computer Science, or a related field
Advanced certification in AWS and Azure
Terraform Associate
AI or ML Certification

Role Focus:

Design and build enterprise-grade cloud services, APIs, and automation platforms
Develop cloud-native tooling and services
Apply modern software engineering practices
Design contract-first APIs and event-driven services
Own the full lifecycle of cloud platforms
Engineer automation-first infrastructure operations
Implement Infrastructure-as-Code frameworks
Build and operate high-availability, fault-tolerant, and disaster-resilient architectures
Lead L3/L4 troubleshooting, root-cause analysis, and reliability improvements

Additional responsibilities:

Act as a technical bridge between Engineering, Cloud Operations, Security, and Architecture
Establish standards, patterns, documentation, and reusable frameworks used across the enterprise
Drive continuous improvement, reliability engineering, and operational excellence

Nice to have:

Hands-on experience in AI-based automation
Advanced certification in AWS and Azure
AI or ML Certification

Other:

Serve as a technical leader and mentor
Collaborate closely with Architecture, Security, Compliance, and Product teams
Use AI tools to accelerate development, testing, documentation, and operational analysis

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