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.