Cloud Platform Engineer

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 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