Enterprise Cloud Software Engineer (Cloud Development, Azure/AWS, Ai Engineering)
Wolters Kluwer (company site, opens in a new tab)3–5 yrsPuneOn-siteDirect career pageEst. 10–20 LPA
Posted 8h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain cloud automation solutions and reusable frameworks using Python, PowerShell, Bash, JavaScript, and cloud-native serverless technologies across AWS and Azure.
- Lead Infrastructure-as-Code (IaC) implementation and CI/CD pipeline development using Terraform, CloudFormation, ARM/Bicep, Ansible, and Azure DevOps or equivalent tools, ensuring multi-cloud and hybrid environment support.
- Integrate AI-driven automation into CloudOps workflows for alert enrichment, operational insights, and remediation, collaborating with architecture, security, and operations teams to deliver production-ready, governed automation solutions.
Minimum Requirements
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- 3–5 years of experience in cloud software development, automation engineering, DevOps, or infrastructure engineering.
- Proven hands-on experience with Python, PowerShell, Bash, or JavaScript; Infrastructure-as-Code tools like Terraform, CloudFormation, ARM/Bicep, Ansible; and CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
- Experience supporting and automating AWS and Azure cloud environments.
Ideal Candidate Profile
- Experienced in developing production-grade, automated cloud operations and infrastructure solutions with strong software engineering best practices (SOLID principles, design patterns).
- Demonstrated ability to lead IaC and CI/CD pipeline implementations in complex, multi-cloud and hybrid enterprise environments.
- Skilled in integrating AI and intelligent automation into operational workflows, balancing innovation with operational risk and governance awareness.