Job Title: Cloud DevOps Engineer

Location: [Bangalore Whitefield]

Work Mode : Hybrid.

Experience : 5 - 6 Years.

Notice period - Immediate Joiners.

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 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. 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 productive 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

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