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 Engineer to support and enhance our cloud and data platform capabilities. This role will focus on building and maintaining scalable infrastructure, enabling reliable CI/CD pipelines, and driving automation across AWS and Databricks environments. The ideal candidate will bring strong technical expertise along with a continuous improvement mindset aligned with TE’s engineering excellence standards.

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

Desired Candidate Profile:

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline
• 7+ 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

Competencies