Jobs › Companies › Wolters Kluwer › Enterprise Software Engineer (Python, Azure/AWS, Gen AI)

Über diese Enterprise Software Engineer (Python, Azure/AWS, Gen AI) Stelle bei Wolters Kluwer

Wolters Kluwer · Vor Ort · IND-Pune-Smartworks

Minimum 6 years of experience in enterprise software development and cloud development:

  • Experience with FastAPI/Django, React/TypeScript, and GraphQL.
  • Knowledge of event-driven architectures (e.g., SNS/SQS, Azure Service Bus), streaming (Kafka/Kinesis), and pub/sub patterns.
  • Familiarity with APM tools and SLO/SLA design; capacity and performance testing at scale.
  • Exposure to AI/ML services (e.g., Azure OpenAI) and safe LLM integration patterns.
  • Contributions to shared Terraform modules and internal design standards.
  • Experience with automated deployments utilizing continuous integration and continuous delivery (CI/CD) tools (such as Azure DevOps, GitLab, GitHub, Jenkins or other well-known tools)
  • Experience with release management, product rollouts, and service operationalization
  • Solid and proven experience with design patterns, SOLID Principles, especially cloud resiliency patterns, working in an agile environment with an SDLC like Scrum, SaFE, etc.
  • Being able to write scalable production-grade code leveraging Cloud software development kit (SDKs) and Cloud APIs in (at least) one of the following programming languages: Python, Java, NodeJS or Ruby
  • Advanced Technology Adoption and Utilization:
    • AI Tool Proficiency: Evaluate and optimize AI tool usage for team efficiency and productivity
    • AI Output Validation: Establish validation standards and review processes for AI-generated code
    • Responsible AI Usage: Lead responsible AI initiatives and establish team best practices
    • Agentic Workflow Design: Design and optimize AI agent workflows for team efficiency
  • Having a wide range of experiences and advanced technical acumen serving as an advisor to management
  • Communicating difficult concepts and influencing others to adopt a different point of view
  • Enthusiasm for staying abreast of industry trends and a keen eye for product improvements

Soft Skills:

  • Team working
  • A logical approach to work
  • The ability to prioritize tasks/organize work
  • Excellent oral, written and interpersonal English communication skills including strong presentation skills.
  • Availability to work on extra time
  • Problem-solving skills
  • Patience
  • Meticulous attention to details

Education:

  • Bachelor's degree in Computer Science, Information Systems, or a related field or equivalent experience
  • Required: Advanced/Professional Technical Certificate in Azure, AWS or Kubernetes

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.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Bereit, sich bei Wolters Kluwer zu bewerben?
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Über Wolters Kluwer

Wolters Kluwer reported 2025 annual revenues of €6.1 billion. The group serves customers in over 180 countries, maintains operations in over 40 countries, and employs more than 21,000 people worldwide. ​ ​ Our customers work in industries that impact the lives of millions of people every single day. Our mission is to empower our professional customers with the AI-powered solutions they need to make critical decisions, achieve successful outcomes, and increase productivity. ​ ​ We deliver trusted, AI-powered expert solutions that combine deep domain knowledge, proprietary content, and advanced technology to provide expert-validated insights, automate workflows, and drive better outcomes. Toda

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