Job Purpose
Job Purpose – We are seeking a highly skilled Python & Cloud Platform Engineer to support, modernize, and migrate Python-based applications currently running on Linux servers with load balancers to containerized environments on Kubernetes, specifically Azure Kubernetes Service (AKS) or Amazon Elastic Kubernetes Service (EKS). Log extraction and RCA debug using Azure Data Explorer.
Key Roles –
• Support and maintain Python applications running on Linux environments
• Manage load-balanced application architectures to ensure high availability and performance
• Analyse existing Linux/VM-based workloads and plan migration to Kubernetes
• Containerize Python applications using Docker
• Deploy, manage, and scale applications on Azure Kubernetes Service (AKS) or Amazon Elastic Kubernetes Service (EKS)
• Design and configure Kubernetes resources (Deployments, Services, Ingress, ConfigMaps, Secrets)
• Perform application and infrastructure migration from on-prem / VM setups to AKS and EKS
• Implement CI/CD pipelines for automated build and Kubernetes deployments




• Monitor and troubleshoot application, container, and cluster-level issues
• Optimize performance, scalability, and reliability in cloud-native environments
• Implement security best practices for Kubernetes and cloud platformsDuties and Responsibilities
Key Responsibilities –
• Translate business requirements into technical solutions in collaboration with the PMO team.
• Own end-to-end delivery of data projects, ensuring on-time execution and adherence to quality standards.
• Design technical architecture and guide development efforts for enhancements and current projects.
• Develop and maintain robust ETL pipelines and data integration modules across systems.
• Ensure high data quality, platform stability, and resolution of critical process issues.
• Monitor and resolve performance bottlenecks in data workflows and programs.
• Establish best practices, standard operating procedures, and drive their implemen

📌 Senior Data Engineer (Pune)
🏢 Bajaj Finance
📍 Pune