Job Description

Introduction A career in IBM Software means you'll be part of a team that transforms our customer's challenges into industry-leading solutions. We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world's leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes. This position involves contributing to HashiCorp's offerings, now part of IBM, which empower organizations to automate and secure multi-cloud and hybrid environments. You will join a team managing the lifecycle of infrastructure and security, enhancing IBM's cloud solutions to ensure enterprises achieve efficiency, security, and scalability in their cloud journey. 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. 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. Desirable Skills Preferred technical and professional experience 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.