Wolters Kluwer
Enterprise Cloud Software Engineer (Cloud Operations, AI Engineering, Azure/AWS)
We are seeking a Enterprise Cloud Software Engineer skilled in automation engineering, artificial intelligence, and cloud operations. This role merges the Enterprise Cloud Software Developer and CloudOps Engineer positions into a single, development‑centric automation role. The focus is on building solutions, platforms, and automation frameworks that enable scalable, resilient, and intelligent cloud operations across AWS and Azure. The role emphasizes coding, Infrastructure‑as‑Code, CI/CD, and intelligent automation, while still maintaining strong operational awareness.
The engineer will design, build, and evolve cloud automation solutions that replace manual IT operations with AI augmented, software‑driven, repeatable, and governed workflows, working closely with architecture, security, and operations teams.
Key Responsibilities
Cloud Software Development & Automation
- Design, develop, test, and maintain cloud automation solutions using Python, PowerShell, Bash, and JavaScript to automate traditional IT and CloudOps tasks.
- Build reusable automation frameworks, libraries, and services using cloud SDKs, APIs, and serverless technologies (AWS Lambda, Azure Functions).
- Engineer high‑quality, production‑ready code following established SOLID principles, design patterns, and cloud resiliency patterns.
- Implement automated self‑certification, testing, and validation to ensure reliability, security, and performance before release.
Infrastructure as Code & CI/CD
- Lead and contribute to Infrastructure‑as‑Code (IaC) using Terraform, CloudFormation, ARM/Bicep, and Ansible, aligned with enterprise standards.
- Develop and maintain CI/CD pipelines for infrastructure and automation using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
- Apply version control best practices, including pull requests, code reviews, and automated quality gates.
- Manage IaC state, modularization, and lifecycle across multi‑cloud and hybrid environments.
Cloud Platforms & Operations Enablement
- Design and automate solutions across AWS and Microsoft Azure, supporting IaaS, PaaS, containerized, and serverless workloads.
- Enable operational capabilities such as provisioning, scaling, patching, backup, disaster recovery, and decommissioning through code.
- Build automation that enforces cloud governance, including tagging standards, security baselines, cost optimization, and policy‑as‑code guardrails.
- Collaborate with Cloud Operations teams to ensure solutions are observable, supportable, and production‑ready.
Containers, Platforms & Modern Tooling
- Develop and support automation for container platforms such as Docker, Kubernetes, AKS, and EKS.
- Support enterprise cloud operating models, including shared services and multi‑tenant platforms.
Intelligent & AI‑Enabled Automation
- Integrate AI‑driven automation into CloudOps workflows for alert enrichment, operational insights, and basic remediation.
- Develop Python‑based automation that leverages API‑driven AI services and intelligent runbooks.
- Apply awareness of AI governance, accuracy, and operational risk when building automation solutions.
Agile Delivery & Collaboration
- Work within Agile/Scrum teams, contributing to sprint planning, estimation, reviews, and retrospectives.
- Partner closely with Architecture, Security, Platform, and Operations teams to drive adoption and operationalization of automation.
- Drive initiatives to completion by clarifying requirements, providing technical leadership, and removing delivery blockers.
- Produce clear documentation, runbooks, patterns, and standards to enable reuse and operational maturity.
Required Qualifications
Education
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
Experience
- 3–5 years of experience in cloud software development, automation engineering, DevOps, or infrastructure engineering.
- Strong hands‑on experience developing code and automation using Python, PowerShell, Bash, or JavaScript.
- Proven experience with IaC, CI/CD pipelines, and version control–driven delivery.
- Experience supporting and automating AWS and Azure environments.
Preferred Certifications
- Advanced AWS and/or Azure Cloud Certifications
- Terraform Associate or equivalent IaC certification
- AI / ML or Intelligent Automation certifications (preferred but not required)
Other Skills & Mindset
- Strong software‑engineering mindset applied to infrastructure and operations.
- Analytical, automation‑first, and problem‑solving oriented.
- Customer‑focused with an emphasis on reliability, security, and operational excellence.
- Comfortable with failing fast, learning, and iterating in an Agile environment.
Excellent written and verbal communication and cross‑functional collaboration skills.
Our Interview Practices:
To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Our Interview PracticesTo maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.
Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.
