Senior Python Full Stack Engineer (6 Yrs - Python, Azure/AWS, LLM)

Basic FunctionWolters Kluwer is looking for a hands-on Lead Enterprise Cloud Software Developer in our Engineering Team to design, build, and integrate our next generation of enterprise cloud services. Leading and mentoring our Engineering team and collaborating closely with our customers, Design and Domain Architects, Cloud Operations, Security, Compliance, and other key stakeholders, the candidate will be responsible for driving key projects and initiatives in GBS.Under moderate supervision, designs, develops, tests, debugs, and implements moderately complex software tools and utilities required for the operation, maintenance, and control of computer systems. Makes moderately complex modifications to existing software to fit specialized needs and configurations and maintains program libraries and technical documentation. Assists in planning, scheduling, and implementation. Initiates corrective action to stay on schedule.Our Engineering team primarily focuses on designing and developing enterprise cloud services that automate traditional IT Operations tasks at scale using industry standards like infrastructure orchestration tools (such as Terraform), configuration management tools (like Ansible), Cloud software development kits (SDKs). Besides, the Engineering team is engaged in initiatives of transforming the IT Operations Services suite to be scalable and API-capable.Our Lead Enterprise Cloud Software Developer will work closely with other Engineers leveraging a standard set of enterprise-wide artifacts such as Design Patterns and Standards, follow and establish guiding design principles ensuring the develop solutions or technical components deliver GBS strategic intent, while meeting the solution requirements providing business value.What You'll DoFull-Stack Engineering (Python-first): Design and implement resilient services, APIs, and UIs with Python (FastAPI/Django/Flask) and modern front-end stacks (e.g., TypeScript/React) where needed; enforce clean architecture, SOLID principles, and comprehensive unit/integration tests.Cloud Programmability: Build automation and platform capabilities using Azure and AWS SDKs (e.g., azure-sdk-for-python, boto3), event-driven designs, serverless functions, and service APIs to standardize and accelerate cloud operations.AI for Developers: use AI assistants for code and test generation, defect pattern analysis, code optimization, and documentation; Integrate LLM-powered features safely; apply prompt engineering and evaluation; follow MLOps basics for model usage in applications.Infrastructure as Code & DevOps: Author Terraform modules and CI/CD pipelines (Azure DevOps/GitLab) to deliver hands-free deployments, policy-as-code, and repeatable environments.Performance, Scalability, and Reliability: Profile and optimize code paths; apply caching, asynchronous I/O, connection pooling, efficient data models, and resource tuning; design for horizontal scale and graceful degradation; instrument services with...