Cloud-Native DevOps & Backend Intern

WEX, Inc.; United States; Hybrid; USD 37,195,000 - 48,216,000; Part time

Job summary

WEX, Inc. is offering a 13-week paid Software Engineer Intern program across the U.S. from late May to mid-August, with mentorship, hands-on projects, and opportunities to lead initiatives.

Remote, hybrid, and onsite options are available, and the goal is to convert top interns into full-time or extended roles during the school year. You will work with engineers and product managers on real-world challenges, gaining experience with cloud infrastructure, backend tooling, and AI-driven development

Qualifications

• Pursuing a Bachelor's degree in Computer Science or related field and will have completed at least sophomore year.
• Foundational coursework with Docker, Kubernetes, and C#.
• Familiarity with Microsoft Azure or cloud computing concepts.
• Basic knowledge of Python, Helm charts, or AI agent frameworks is a plus.
• Eagerness to adopt AI coding tools (e.g., Cursor) and learn rapidly.

Responsibilities

• Build Infrastructure & Tools: Containerize applications and manage deployments using Docker, Kubernetes, and Azure.
• Develop Backend Services: Write clean C# code to build internal developer tools, templates, and backend components.
• Leverage Modern AI Workflows: Utilize AI coding tools and explore AI agents to streamline development.
• Learn & Collaborate: Partner with senior engineers to learn CI/CD practices, cloud architecture, and DevOps standards in an agile environment.

Skills

Docker

Kubernetes

C#

Python

CI/CD

AI tools

AI agents

Cursor

Education

Bachelors in CS/related field

Tools

Azure

Helm charts

Job description

WEX, Inc. is offering a 13-week paid Software Engineer Intern program across the U.S. from late May to mid-August, with mentorship, hands-on projects, and opportunities to lead initiatives.

Remote, hybrid, and onsite options are available, and the goal is to convert top interns into full-time or extended roles during the school year. You will work with engineers and product managers on real-world challenges, gaining experience with cloud infrastructure, backend tooling, and AI-driven development