Cloud Platform Engineer (Intern)

Connections matter. Make yours here

TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, Instagram and X (formerly Twitter).  

Click here for to learn more about the TE Connectivity HBCU Career Pathways Program 

Segment, Business Unit or Corporate Group 

This position will be part of the ​GLOBAL TEIS--TEIS is a diverse, global partner to all of TE's businesses and functions. The TEIS team is comprised of multiple Centers of Excellence (CoEs) in Digital, Infrastructure and Security, Application Services and our CIO Business Office​ 

Work Location 

The location for this position is ​REMOTE​  (Street Address: ​REMOTE​) 

Job Overview  

At TE Connectivity, you’ll help bring our purpose to life by creating a safer, sustainable, productive and connected future. Your role as  ​an Intern​ in the ​Global TEIS​ Business Unit, will help us make the connections that move the world forward by: 

• Cloud Data Platform Management: Assist in managing the existing cloud data platform, focusing on enhancing scalability, reliability, and cost efficiency. 
• Cloud Economics Analysis: Participate in cloud cost analysis and optimization efforts to ensure effective resource utilization and cost management. 
• Monitoring and Optimization: Monitor cloud platform performance, identify potential issues, and work towards optimizing platform health and efficiency. 
• DevOps Process Improvement: Analyze current DevOps processes, identify areas for optimization, and suggest improvements. 
• Data Integration and ETL Support: Gain an understanding of the data integration and ETL tools and services in use, and collaborate closely with Solution Architects. 
• Cloud-Based Machine Learning Deployment: Explore and recommend ways to deploy machine learning services on the cloud. 
• Continuous Learning in Data & Analytics: Proactively upskill in areas of data and analytics as needed to support team objectives and personal growth. 

Responsibilities 

At TE Connectivity, you’ll be part of a global collaborative culture where your innovative approach and actions have the potential to transform the world of tomorrow. In this role you’ll: 

• CI/CD Pipeline Implementation: Gain a comprehensive understanding of Continuous Integration (CI) and Continuous Deployment (CD) methodologies. Work with tools such as Jenkins, GitHub, and CloudFormation to implement and optimize CI/CD pipelines for streamlined deployment and automation. 
• Cloud-Native Services Monitoring: Develop and implement monitoring scripts using AWS Lambda and Python. Learn how to manage and control costs for cloud-native services, including compute instances (e.g., AWS EC2), database services (e.g., Redshift, Athena, Aurora), and data processing engines (e.g., EMR, AWS DMS, Hudi). 
• Data Integration Techniques: Collaborate with Data Engineers and Solution Architects to understand ETL (Extract, Transform, Load) processes and learn how to apply DevOps practices within ETL pipelines for improved data integration efficiency. 
• Exposure to ML Engineering and Advanced Analytics Tools: Gain hands-on experience with advanced data analytics and cloud-based machine learning tools. Learn how to leverage services such as Amazon SageMaker, AWS Lambda, and AWS Glue to deploy and manage data science models effectively. 

You’re the kind of person we are looking for if you: 

•    Have Received a High School Diploma or GED 

•    Are currently enrolled in a program or pursuing a ​BA/BS or MA/MS​ Degree in Computer Science, ​Information Technology (IT)​ or ​Data Analytics​ from an accredited college or university or have equivalent work history. (In certain circumstances, students who are taking a gap year will be considered.) 

•    Have previous internship or large project experience is preferred 

•    Are authorized to work in the U.S. 

I&D 

TE Connectivity and its affiliates are equal employment opportunity employers. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin, ancestry, age, disability, marital status, pregnancy, protected veteran status, order of protection status, protected genetic information or any other characteristic protected by law. 

Competencies