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 an 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.
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.
- 3+ 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 in FinOps.
- Experience working in Agile/Scrum environments.
Blue Cloud Softech Solutions Ltd