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 protected 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 setting with an SDLC like Scrum, Secure, 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
Ex

📌 Enterprise Software Engineer Pune (India)
🏢 Wolters Kluwer
📍 India