Logo of Huzzle

Devops Engineer Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Middletown

Requirements

  • Have Received a High School Diploma or GED
  • Are currently enrolled in a program or pursuing a BA/BS or MA/MS Degree in Information Technology (IT), Data Analytics or Computer Science 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.

Responsibilities

  • Manage the existing cloud data platform to make it more scalable, reliable and cost efficient.
  • Understand current DevOps processes and suggest improvements.
  • Understand current Data Integration and ETL tools and services used and work with Solution architects.
  • Monitor and Optimize Cloud-Native Services
  • Work with Visualization team to develop dashboards
  • Establish Cost Estimation Framework
  • Understand and suggest ways to deploy cloud-based machine learning services
  • Upskill in other areas of Data and Analytics as needed
  • Understand and Implement CI/CD Pipelines: Gain a comprehensive understanding of Continuous Integration (CI) and Continuous Deployment (CD) methodologies, and tools such as Jenkins, Github, CloudFormation.
  • Monitor and Optimize Cloud-Native Services: Develop scripts with AWS Lambda and Python to monitor services like AWS EC2, Redshift, Athena, EMR, ensuring cost control and operational visibility.
  • Migrate Data Using Databricks: Work with data engineering team to implement data migration pipelines using Databricks, ensuring migration across environments.
  • Work with Visualization and Automation: Collaborate with visualization team to develop dashboards using tools like Tableau, automate processes using AWS Lambda
  • Monitoring and understanding Cloud native services. Learn how to develop scripts using AWS Lambda, Python to monitor and control cost for the cloud native services (e.g., compute instances (AWS EC2), database services [RedShift, Athena, Aurora], Data processing engines [EMR, AWS DMS, HUDI])
  • Exposure Data Integration Techniques: Work with Data Engineers and Solution Architects to gain the knowledge about ETL processes (Extract, Transform, Load) and learn how to apply DevOps for ETL pipeline.
  • Exposure to ML Engineering and Advance Analytics Tools: Gain exposure to advanced data analytics techniques and understand how to leverage cloud-based machine learning services (e.g., Amazon SageMaker, Lambda, AWS Glue) to deploy Data Science model.
  • Establish Cost Estimation Frameworks: Work with the team to develop tools and processes for accurate cost estimation of cloud services and service requests.

FAQs

What is the job title for this position?

The job title is DevOps Engineer Intern.

What is the primary responsibility of the intern in this role?

The primary responsibility is to manage the existing cloud data platform to make it more scalable, reliable, and cost-efficient.

What tools and technologies will the intern be expected to work with?

The intern will work with tools such as Jenkins, GitHub, CloudFormation, Databricks, AWS Lambda, Tableau, and various AWS services including EC2, Redshift, Athena, and EMR.

What qualifications are necessary to apply for this internship?

Applicants should have a High School Diploma or GED and be currently enrolled in a BA/BS or MA/MS Degree program in Information Technology, Data Analytics, or Computer Science from an accredited college or university, or have equivalent work history.

Are previous internship experiences preferred for applicants?

Yes, previous internship or large project experience is preferred.

What skills will the intern develop during this internship?

The intern will gain skills in CI/CD processes, cloud-native services monitoring, data integration techniques, machine learning engineering, and cost estimation frameworks.

What is the compensation range for this internship?

The competitive base salary ranges from $19.24 to $40.84, depending on physical location and experience.

Are there benefits provided to interns in this position?

Yes, the internship includes a comprehensive benefits package such as health insurance, 401(k), disability and life insurance, paid time off, and voluntary benefits.

Is experience in Machine Learning necessary for this internship?

No, but the intern will gain exposure to machine learning engineering and advanced analytics tools during the internship.

What competencies does TE Connectivity value in candidates?

TE Connectivity values integrity, accountability, inclusion, innovation, and teamwork in candidates.

Manufacturing & Electronics
Industry
10,001+
Employees

Mission & Purpose

TE Connectivity is a global industrial technology manufacturing leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions, proven in the harshest environments, enable advancements in transportation, industrial applications, medical technology, energy, data communications, and the home.

Get notified when TE Connectivity posts a new role

Get Hired with Huzzle

Discover jobs with AI-powered precision. Autofill and track applications, create tailored resumes, and find the best opportunities across the web – all by simply chatting.

Already have an account?