Lead Enterprise Engineer Python development + AWS + Azure + LLM)

Must-Have Core Skills & Expectations
Python (5+ years): Strong backend development, scalable coding, API development experience.
Cloud (AWS + Azure): Hands-on deployment, serverless (Lambda/Azure Functions), cloud services usage.
Infrastructure as Code: Terraform for automated provisioning and environment setup.
DevOps & CI/CD: Experience with pipelines (Azure DevOps), Git, automated testing & deployments.
API & Integration: Strong REST API design and third-party integrations.
AI/ML & LLMs: Practical experience with LLMs, RAG, prompt engineering in real applications.
Cloud Automation: Building orchestration, provisioning, and optimisation systems.
Containers: Docker and Kubernetes for production workloads.
Architecture: Scalable system design, design patterns, decision-making capability.
Leadership: Mentoring, code reviews, ownership of modules/features.
Security: Cloud security fundamentals (IAM, encryption).
Good-to-Have Skills & Expectations
Advanced AI/ML: Experience with TensorFlow/PyTorch, predictive scaling, anomaly detection.
Monitoring: Tools like Prometheus, Datadog for observability.
Python Frameworks: Django or Flask for structured service development.
Serverless & Event-driven design: Advanced use of cloud-native architectures.
SDK/Platform Experience: Building reusable tools/platforms for developers.
Data Skills: Data analysis and large dataset handling.
Agile: Experience working in Agile/Scrum environments.
Soft Skills: Strong communication, collaboration, documentation abilities.