Intern - Cloud Engineer

GM Financial•Irving, TX

3d•Hybrid

About The Position

The Cloud Engineer intern works collaboratively in an agile team to implement highly available and secure cloud technologies. The role includes continuously monitoring and optimizing cloud implementations for efficiency and supporting and collaborating with other teams and projects, particularly DevOps, platform, and automation teams. The intern helps build secure solutions in major public clouds such as Microsoft Azure and Amazon Web Services; works with product owners and managers to establish application service-level objectives and agreed consequences if objectives are not met; and collaborates with development team members to troubleshoot and resolve issues in cloud-hosted environments. The position calls for a collaborative, creative, intellectually curious person passionate about developing and implementing cloud computing capabilities. The internship program runs for 11 weeks, May 26 through August 6, 2027, and offers executive and peer networking, independent and team project experiences, philanthropic activities, career development, and the opportunity to apply for full-time career positions. Compensation is described as competitive. The work environment is flexible hybrid, with three days a week in the office, Tuesday through Thursday.

Requirements

Be a current student pursuing a bachelor's degree or higher at an accredited college or university in Finance, Accounting, Economics, or another related major, with at least one semester remaining when the internship begins.
Have a minimum overall GPA of 3.0 on a 4.0 scale.
Have strong written and verbal communication skills.
Have strong analytical, quantitative, problem-solving, and conceptual skills.
Be detail-oriented and able to prioritize tasks to meet deadlines.
Be able to work independently or in a team setting.
Demonstrate ability to use AI tools, such as Microsoft Copilot, to support daily work.
Be able to evaluate AI outputs for accuracy, compliance, and bias.
Have experience integrating AI into workflows to improve efficiency or insights.
Be familiar with AI-assisted research, summarization, and content generation.
Understand responsible AI use, including ethics and data protection.

Nice To Haves

Junior or senior student classification is preferred.
Previous internships are a plus.
Experience with AI-assisted software development or automation.
Knowledge of prompting techniques to improve output quality.
Awareness of emerging generative AI capabilities and limitations.

Responsibilities

Build secure cloud solutions in major public clouds, including Microsoft Azure and Amazon Web Services.
Collaborate with product owners and managers to establish service-level objectives for applications and agree on consequences if objectives are not met.
Collaborate with development team members to swarm, troubleshoot, and resolve problems in cloud-hosted environments.
Continuously monitor and optimize cloud implementations for efficiency.
Support and collaborate with other teams and projects, particularly DevOps, platform, and automation teams.
Work independently on multiple projects and tasks simultaneously.
Communicate effectively in writing and verbally, including giving presentations and communicating with business leaders.
Prioritize and organize work to meet deadlines.