Enterprise Software Engineer (Python, Azure/AWS, Gen AI)
Wolters Kluwer Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Wolters Kluwer. IND-Pune-Smartworks · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build production software with cloud SDKs and APIs, using Python, Java, NodeJS or Ruby
- Develop services across FastAPI or Django, React or TypeScript, and GraphQL
- Design event-based, streaming and pub/sub systems, then test their capacity and performance
- Set standards for AI-assisted coding, validate generated code, and improve agent workflows
- Support releases and service operations while contributing Terraform modules and design standards
What you bring
- At least six years in enterprise software and cloud development
- A bachelor's in computer science, information systems or a related area, or equivalent experience
- An advanced or professional technical certificate in Azure, AWS or Kubernetes
- Production coding ability in at least one of Python, Java, NodeJS or Ruby
Who this fits
This mid-level role suits an experienced engineer comfortable advising management, explaining complex technical ideas and influencing decisions. The position is hybrid in India, and you may need to work extra hours. Interviews include an in-person stage, and candidates may be asked to attend a Wolters Kluwer office.
From the employer
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.