Enterprise Software Engineer Python Cloud

Job Summary

Join a dynamic team at Wolters Kluwer to design, build, and integrate next-generation enterprise cloud services. You will focus on automating IT operations using Generative AI, cloud SDKs, configuration management, and orchestration tools. This role involves driving IT governance and standardization within identified cloud patterns.

What You'll Do

• Develop software solutions, engineer CI/CD pipelines, and champion Infrastructure-as-Code (IaC).
• Envision and execute an enterprise-scale cloud operations discipline using serverless technologies (AWS Lambda, Azure Functions).
• Lead the development and delivery of operational services, leveraging GenAI for code authoring, Ansible, Jenkins, and Azure DevOps.
• Build and evolve standardization solutions for IT Cloud governance.
• Write high-quality software with automated self-certification before delivery.
• Collaborate with Architecture, Cloud Operations, and Security teams for seamless operationalization.
• Drive projects to completion by clarifying requirements, providing insights, and removing roadblocks.
• Regularly report progress on key initiatives to stakeholders and leadership.
• Meticulously document implementations, patterns, practices, and processes.

What You Bring To The Team

• Passion and energy to transform visions into reality.
• Comfort with failing fast and learning from failures to foster innovation.
• Strong focus on ensuring services are effectively run by operations.
• Customer-focused mindset to solve real problems for customers and users.

Other Duties

Performs other duties as assigned by management.

Job Qualifications & EXPERIENCE

Education:

• Required: Bachelor's degree in Computer Science, Information Systems, or a related field.
• A Valid Technical Certificate in Azure or AWS.

Experience:

• 2-5 years of application/code (Python) development experience with version control systems.
• 2 years of experience with scripting languages (Python, PowerShell, Bash, JavaScript).
• Experience using Generative AI tools to support code authoring.
• Experience with design patterns, SOLID Principles, especially cloud resiliency patterns.
• Experience working in an agile environment (Scrum, SAFe).
• Experience in software release cycles (code reviews, defect triage).
• Experience with software development best practices (e.g., test-driven development).
• Experience in code refactoring, quality improvement, and performance optimization.
• Knowledge of multi-threading, scalability, performance, and application security.
• Experience creating and implementing ARM, Cloud formation, or Terraform templates.
• Experience managing Infrastructure as Code.

Soft Skills:

• Teamwork and logical approach to work.
• Ability to prioritize and organize tasks.
• Excellent English communication skills (oral, written, presentation).
• Availability to work extra hours when needed.
• Problem-solving skills, patience, and meticulous attention to detail.

Travel Requirements

Position requires occasional domestic and international travel.

Physical Demands

Normal professional office environment.

Key skills/competency

• Enterprise Software Engineering
• Python Development
• Cloud Services
• Generative AI Tools
• Infrastructure-as-Code (IaC)
• CI/CD Pipelines
• AWS Lambda
• Azure Functions
• Ansible
• Terraform