Job Description
This role requires an expert who is equally comfortable designing and building robust, scalable backend APIs as they are managing cloud deployment infrastructure and optimizing high-volume data pipelines. The ideal candidate will drive technical excellence across the entire stack, from database schema design to production deployment on Kubernetes. The role involves backend development & architecture, data engineering & analytics, and platform and DevOps operations. This includes designing and maintaining high-performance APIs using Python and FastAPI, building data pipelines using PySpark and Databricks, and managing containerization using Docker and Kubernetes. The candidate should have deep Python expertise, experience with backend frameworks, container orchestration, data processing, messaging & databases, and cloud & version control.