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Wolters Kluwer

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

Wolters Kluwer

Enterprise Software Engineer developing cloud-based solutions at Wolters Kluwer, utilizing Python, AI, and advanced cloud technologies. Collaborating with diverse teams to deliver impactful software products.

Posted 6/19/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDjangoGraphQLJenkinsKafkaKubernetesReactSDLCTerraformTypeScript

About the role

Key responsibilities & impact
  • Work on enterprise software development and cloud development projects
  • Collaborate with cross-functional teams to deliver high-quality software
  • Utilize FastAPI/Django, React/TypeScript, and GraphQL in development
  • Design and implement event-driven architectures and integration patterns
  • Optimize AI tool usage for team efficiency and productivity
  • Establish validation standards and review processes for AI-generated code
  • Lead responsible AI initiatives and establish team best practices
  • Design and optimize AI agent workflows for team efficiency

Requirements

What you’ll need
  • 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 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.
  • Advanced Technology Adoption and Utilization: AI Tool Proficiency
  • AI Output Validation
  • Responsible AI Usage
  • Agentic Workflow Design
  • The ability to communicate difficult concepts and influence others to adopt a different point of view
  • Strong presentation skills.
  • Bachelor's degree in Computer Science, Information Systems, or a related field or equivalent experience
  • Advanced/Professional Technical Certificate in Azure, AWS or Kubernetes.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible working hours
  • Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
FastAPIDjangoReactTypeScriptGraphQLevent-driven architecturesAI/ML servicesTerraformCI/CDdesign patterns
Soft Skills
communicationinfluencepresentationcollaborationleadershipteam efficiencyproductivityvalidation standardsbest practicesresponsible AI usage
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsAdvanced Technical Certificate in AzureAdvanced Technical Certificate in AWSAdvanced Technical Certificate in Kubernetes