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

Wolters Kluwer is hiring a Senior Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure & AWS) in Chennai, India. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/ed3d4775-9ed4-4a2e-b818-78b2851f4e6c?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. IND - Chennai, Neville Towers.

## Details

- Company: [Wolters Kluwer](https://jobsbylevel.com/companies/wolters-kluwer)
- AI level: AI Level 3 (score 65 out of 100)
- Location: IND - Chennai, Neville Towers
- Posted: October 15, 2026
- Apply: https://jobsbylevel.com/go/ed3d4775-9ed4-4a2e-b818-78b2851f4e6c?utm_medium=ai-agent

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-enterprise-cloud-software-engineer-cloud-operations-ai-engineering-azure-aws-at-wolters-kluwer-86f84b

## Description

We are seeking a Senior Enterprise Cloud Software Engineer skilled in automation engineering, artificial intelligence, and cloud operations. This role represents a strategic evolution of two traditionally separate disciplines — Enterprise Cloud Software Development and Cloud Operations Engineering —into a single, high‑impact engineering role that designs, builds, and operates intelligent, automation‑first cloud platforms at enterprise scale. The Senior Enterprise Cloud Platform Engineer role redefines operations as software , embedding reliability, governance, security, and resilience directly into cloud services through code, automation, and AI‑assisted intelligence . You will help drive the future of cloud operations by creating programmable platforms, self‑healing systems, and AI‑augmented operational workflows across AWS and Azure, replacing manual toil with scalable, policy‑driven execution. Mission of the Role Transform Cloud Operations from reactive support into proactive, software‑defined platforms Fuse software engineering rigor with operational ownership Leverage automation, Infrastructure‑as‑Code, and AI to eliminate manual work at scale Design systems that are secure, observable, resilient, and self‑optimizing by default Act as a technical bridge between Engineering, Cloud Operations, Security, and Architecture Technical Skills & Competencies Enterprise Cloud Software Engineering 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. Cloud Operations Engineering (Software‑Defined) 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. AI‑Driven & Intelligent Operations 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 audibly. 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. DevOps, CI/CD & Governance 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. Ensure platforms are built to be operable by design , not retrofitted for operations. Leadership & Engineering Influence 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. Required Qualifications Education: Required: Bachelor's

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-enterprise-cloud-software-engineer-cloud-operations-ai-engineering-azure-aws-at-wolters-kluwer-86f84b

Source: https://jobsbylevel.com/jobs/senior-enterprise-cloud-software-engineer-cloud-operations-ai-engineering-azure-aws-at-wolters-kluwer-86f84b

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-enterprise-cloud-software-engineer-cloud-operations-ai-engineering-azure-aws-at-wolters-kluwer-86f84b.

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