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

    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

    Prepare for this role

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    Intermediate Python covering classes, inheritance, APIs, and data processing.

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