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Job Title: Cloud Platform EngineerLocation: [Bangalore / US Shift hours (6.00 pm to 3.00 am] Function: AWS | Databricks | Jenkins | Terraform | Python Job Overview At BCSS, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable, and more connected world. We are seeking a highly skilled, hands-on engineer with deep expertise in Databricks, CI/CD, and cloud infrastructure on AWS. The ideal candidate should be well-versed in Databricks infrastructure management, automation, and deployment pipelines, with strong programming skills in Python.Key Responsibilities • Manage and maintain AWS cloud infrastructure, ensuring scalability, security, and cost efficiency • Design, build, and manage Databricks infrastructure on AWS • Support deployment and operationalization of Databricks-based data platforms, including cluster management and job orchestration • Implement Infrastructure as Code (IaC) practices using tools such as Terraform or AWS CloudFormation • Develop automation scripts and tools using Python and Shell Scripting to streamline operational processes • Design, implement, and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments • Collaborate with software engineering, data engineering, and architecture teams to enable reliable and efficient delivery pipelines • Monitor system performance, availability, and reliability using enterprise monitoring solutions • Troubleshoot production issues and implement root cause analysis with preventive actions • Ensure compliance with TE Connectivity security, governance, and quality standards • Drive continuous improvement initiatives aligned with DevOps best practices and TE operational excellence.Required Qualifications • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline • 4+ years of experience in DevOps, cloud engineering, or related roles • Exposure to Databricks platform (cluster setup, job execution, notebooks) • Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda, etc.) • Experience with CloudBees/Jenkins for CI/CD pipeline implementation • Experience with Git-based version control systems • Experience with monitoring and logging tools such as CloudWatch, DataDog • Understanding of cloud security, networking, and system architecture principles • Strong scripting/programming skills in Python and Groovy • Experience working in Agile/Scrum environments