Cloud Platform Engineer (US Shift 6.00 Pm To 3.00 Am)

Job Title: Cloud Platform Engineer

Location: [Bangalore / US Shift hours (6.00 pm to 3.00 am]

Function: AWS Databricks Jenkins Terraform Python

Job Overview

At TE Connectivity, 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