Job
                                Description
                            
                            
                                Your role and responsibilities 
Seeking an experienced  Python Developer  to help design, develop, and scale cloud-native services that power data and AI applications across wind, solar, and hybrid assets.
This role combines  strong backend engineering  with a solid understanding of  data and AI integration "”ideal for developers who can write robust, production-grade services while collaborating closely with our Data Science and AI teams to operationalize insights.
 Key Responsibilities 
Design, implement, and maintain  Python-based microservices/APIs  using  FastAPI  and modern asynchronous patterns.
Develop and optimize  data ingestion, transformation, and analytics flows  using  Pandas  and related libraries.
Build, containerize, and deploy scalable workloads using  Docker  and  Kubernetes  (AKS preferred).
Implement and maintain  Azure Functions  and related serverless components for automation and orchestration.
Collaborate with other teams to integrate  agentic AI frameworks  and  model pipelines  into production environments.
Develop and expose  REST / GraphQL APIs , ensuring performance, security, and data integrity.
Work closely with the DevOps team to implement  CI/CD pipelines , monitoring, and logging standards.
Participate in  code reviews , design sessions, and continuous improvement initiatives across teams.
 Required education  Bachelor's Degree  Preferred education  Master's Degree  Required technical and professional expertise  Required Skills & Qualifications 
Minimum  5 years  of professional experience in Python application development.
Strong command of  FastAPI ,  Pandas , and the broader Python data ecosystem.
Proficiency with  Docker ,  Kubernetes , and  containerized microservice architectures .
Working knowledge of  Azure Functions ,  Azure Storage , and  cloud-native deployments .
Experience developing and integrating  RESTful APIs  and data services.
Familiarity with  Git ,  CI/CD tools , and DevOps best practices.
Solid understanding of  data structures ,  asynchronous processing , and  API security mechanisms .
 Preferred technical and professional experience  Desirable Skills 
Exposure to  agentic AI frameworks  (LangChain, CrewAI, LangGraph, etc.).
Experience with  data science workflows , model deployment, and ML integration.
Understanding of  data streaming frameworks  (Kafka, Redpanda) and time-series databases.
Knowledge of  vector databases ,  LLM integration , and AI service orchestration.
  Soft Skills 
Strong sense of ownership and accountability.
Collaborative mindset for cross-functional problem solving.
Excellent communication and documentation skills.
Passion for innovation in renewable energy, AI, and data-driven systems.