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.

Enterprise Software Engineer (Python, Azure/AWS, Gen AI)