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

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Hard Skills

FastAPIDjangoReactTypeScriptGraphQLevent-driven architecturesAI/ML servicesTerraformCI/CDdesign patterns

Soft Skills

communicationinfluencepresentationcollaborationleadershipteam efficiencyproductivityvalidation standardsbest practicesresponsible AI usage

Tools & Technologies

Azure DevOpsGitLabGitHubJenkinsKafkaKinesisSNSSQSAzure Service BusAI tools

Certifications & Qualifications

Bachelor's degree in Computer ScienceBachelor's degree in Information SystemsAdvanced Technical Certificate in AzureAdvanced Technical Certificate in AWSAdvanced Technical Certificate in Kubernetes

Industry Keywords

enterprise software developmentcloud developmentagile environmentSDLCSLOSLAcapacity testingperformance testingAI Output ValidationAgentic Workflow Design

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