Job Title: Cloud Platform Engineer

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

Business Unit: TEIS - DIA

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 solid 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

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