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

Overview

Senior Enterprise Cloud Software Engineer role combining enterprise cloud software development and cloud operations engineering, building intelligent, automation-first cloud platforms at enterprise scale across AWS and Azure.

What you'll do

• Design and build enterprise-grade cloud services, APIs, and automation platforms using a Python-first stack (FastAPI/Django/Flask), with UI components where needed.
• Develop cloud-native tooling and services using Azure and AWS SDKs to standardize provisioning, lifecycle management, and operational workflows.
• Apply modern software engineering practices: clean architecture, SOLID principles, automated testing, and CI/CD-driven delivery.
• Design contract-first APIs (REST/GraphQL) and event-driven services to enable platform extensibility and integration.
• Own the full lifecycle of cloud platforms: design, build, operate, optimize, and decommission.
• Engineer automation-first infrastructure operations, eliminating manual provisioning, patching, scaling, and recovery.
• Implement Infrastructure-as-Code frameworks using Terraform (modules, state management, drift detection) and supporting tools (Ansible, ARM/Bicep, CloudFormation).
• Build and operate high-availability, fault-tolerant, and disaster-resilient architectures across hybrid and multi-cloud environments.
• Lead L3/L4 troubleshooting, root-cause analysis, and reliability improvements for complex cloud incidents.
• Apply AI-assisted CloudOps practices including anomaly detection, predictive insights, event correlation, and automated remediation.
• Design and operate intelligent runbooks and AI agents that execute operational decisions safely and auditably.
• Integrate approved GenAI and ML services into operational workflows while adhering to governance and responsible AI standards.
• Use AI tools to accelerate development, testing, documentation, and operational analysis.
• Design and maintain CI/CD pipelines for infrastructure and platform automation using Azure DevOps, GitHub Actions, or GitLab.
• Implement policy-as-code, security guardrails, tagging standards, and cost-optimization controls.
• Embed observability, APM, logging, and SLO/SLA practices into platforms from day one.
• Serve as a technical leader and mentor, elevating engineering and CloudOps maturity.
• Collaborate closely with Architecture, Security, Compliance, and Product teams.
• Establish standards, patterns, documentation, and reusable frameworks used across the enterprise.
• Drive continuous improvement, reliability engineering, and operational excellence.

What you'll need

• Bachelor's degree in Computer Science, or a related field.
• More than 5 years of Cloud Operations, DevOps, or Infrastructure Engineering experience.
• Proven experience operating large-scale AWS and Azure environments.
• Deep hands-on experience in AWS and Azure at enterprise scale.
• Strong proficiency in Python and scripting for automation and platform development.
• Advanced Terraform expertise with modular, reusable, enterprise-grade designs.
• Experience with containers and orchestration (Docker, Kubernetes, AKS, EKS).
• Strong understanding of networking, identity, security, and cloud governance.
• Experience with CI/CD, release management, and platform operationalization.
• Practical experience applying AI to operational workflows.
• Understanding of AI fundamentals, safe usage, and lifecycle governance.
• Ability to design AI-assisted automation without compromising reliability or compliance.
• Strong architectural thinking and systems design skills.
• Passion for eliminating toil through code.
• Ability to operate independently while influencing across teams.
• Excellent communication and documentation skills.

Nice to have

• Hands-on experience in AI-based automation.
• Advanced certification in AWS and Azure.
• Terraform Associate certification.
• AI or ML certification.

Details

• Location: Chennai, India (Neville Towers).
• Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
• Interviews must be conducted without AI tools or external prompts; virtual backgrounds must be removed.