Intern- Software Engineer

Zions Bancorporation; Midvale (UT); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Paid internship

Job summary

Zions Bancorporation invites applications for a Software Engineering Intern position in Midvale, Utah, for Summer 2026. This paid internship offers hands-on experience on projects across APIs, platforms, data solutions, automation, and cloud capabilities.

You will learn modern engineering practices, AI-assisted development, and rigorous code reviews in a fast-paced team environment. You will contribute to meaningful work, be mentored by experienced engineers, and gain exposure to enterprise

Qualifications

• Pursuing a bachelor’s degree in a technical field.
• Experience with at least one programming language.
• Familiarity with Git or another VCS.
• Understanding of data structures, APIs, testing, and debugging.
• Interest in AI-assisted development tools.

Responsibilities

• Design, develop, test, and enhance software solutions.
• Use AI coding assistants across the software lifecycle.
• Translate requirements into clear, reliable software.
• Develop software using team-relevant languages and platforms.
• Create tests and evaluate AI-generated code for quality.
• Review outputs and ensure security and reliability.
• Debug issues, review code, and document systems.
• Collaborate with engineers, product partners, and other interns.
• Follow CI/CD, version control, and documentation practices.

Skills

Python

Java

Git

AI-assisted development

Problem solving

Communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Git

CI/CD basics

Job description

Software Engineer Intern Summer 2026 Paid Internship Mid-May — Mid-August This internship is not eligible for relocation assistance. Local candidates preferred. Zions Bancorporation’s Internship and Banker Development Program positions are not eligible for employment visa sponsorship (e.g., H-1B visa). This includes, for example, situations where a candidate may have temporary work authorization while enrolled in school or upon graduation (e.g., CPT, OPT) but would need H-1B visa sponsorship within a few years of employment in order to maintain employment eligibility.

ETO is committed to helping our employees grow, develop and advance in their career. Our Workforce of the Future, DEI and UpSkilling initiatives allow you to network across the organization, volunteer in our community, and build your technical and soft skills. We believe that investing in your success and well-being is an investment in our customers and our business.

Together we are building a culture that values diversity, celebrates growth and creates a space of belonging for all our team members. Our people are what set us apart and

About The Opportunity Zions Bancorporation is transforming what it means to work for a financial institution. We operate in a fast-paced, information-driven environment and need people who bring diverse experiences, perspectives, and technical curiosity to meet evolving business and customer needs.

As a Software Engineering Intern , you will contribute to technology solutions that support our customers, employees, and business operations. Depending on your assignment, you may help build or enhance applications, APIs, platforms, data solutions, automation, cloud capabilities, or internal engineering tools.

AI-assisted and agentic software development will be an important part of your internship experience. You will learn how modern engineering teams use AI coding assistants and software agents to understand requirements, explore solutions, develop and review code, create tests, troubleshoot issues, document systems, and automate development workflows. You will also learn how strong engineering fundamentals, security, responsible AI practices, and human judgment are applied to validate AI-generated outcomes.

This is an opportunity to contribute meaningful work, learn from experienced engineers, experiment with emerging technologies, and demonstrate the results of your work.

What You Will Do

• Design, develop, test, and enhance software solutions that address business, customer, or technology needs.
• Use AI coding assistants and agentic development tools across the software development lifecycle.
• Translate requirements and user needs into clear, maintainable, and reliable software.
• Develop software using languages, frameworks, and platforms appropriate to your assigned team and project.
• Create automated tests and evaluate AI-generated or agent-generated code for accuracy, security, reliability, and maintainability.
• Review AI-generated recommendations critically and validate outputs before incorporating them into software solutions.
• Debug technical issues, identify root causes, and implement sustainable solutions.
• Participate in code reviews, design discussions, team meetings, demonstrations, and product development activities.
• Create clear technical documentation for software, processes, and users.
• Gather and incorporate feedback to improve the quality and usability of solutions.
• Collaborate with engineers, product partners, business stakeholders, and other interns.
• Work within established engineering practices, including source control, testing, code review, CI/CD, documentation, and iterative delivery.

Minimum Qualifications

• Currently pursuing a bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Information Systems, or a related technical field.
• Experience developing software in at least one programming language, such as Python, Java, JavaScript, TypeScript, C#, or another modern language.
• Familiarity with Git or another source-control platform.
• Basic understanding of software engineering concepts, including data structures, APIs, testing, debugging, and version control.
• Interest in using AI-assisted development tools while continuing to strengthen core software engineering skills.
• Ability to analyze problems, explore potential solutions, and learn new technologies.
• Ability to communicate technical ideas, ask thoughtful questions, incorporate feedback, and collaborate effectively.
• Comfortable presenting work through demonstrations, showcases, or team discussions.

Preferred Qualifications

• Experience using an AI coding assistant, large language model, or agentic development tool through coursework, personal projects, internships, or hackathons.
• Familiarity with one or more areas such as web development, mobile development, APIs, cloud computing, data engineering, automation, containers, or CI/CD.
• Exposure to prompt design, context engineering, tool calling, retrieval-augmented generation, or agent workflows.
• Experience with automated testing, code-quality tools, security scanning, or software evaluation.
• Familiarity with Linux, command-line tools, or modern development environments.
• A GitHub portfolio, class project, hackathon solution, open-source contribution, or personal project that demonstrates applied learning and technical curiosity.
• Interest in using technology to improve customer experiences, employee productivity, business processes, or engineering effectiveness.

What Success Looks Like By the end of the internship, you will have:

• Contributed meaningful software or automation to an active technology initiative.
• Used AI-assisted or agentic development practices effectively and responsibly.
• Applied testing, security, documentation, and human review to validate your work.
• Incorporated feedback from engineers, users, or business partners.
• Demonstrated growth in software engineering fundamentals and modern development practices.
• Presented your solution, engineering decisions, lessons learned, and outcomes to technical and business stakeholders.

What Is in It for You?

• Hands-on software engineering experience in an enterprise technology environment.
• Practical experience using AI-assisted and agentic software development tools.
• Exposure to modern applications, APIs, platforms, data solutions, cloud technologies, automation, and CI/CD practices.
• Mentorship and feedback from experienced engineers and technology leaders.
• Opportunities to collaborate, experiment, solve meaningful problems, and turn ideas into working solutions.
• Experience balancing innovation with security, reliability, responsible AI, and sound engineering practices.
• A supportive environment that values learning, inclusion, curiosity, collaboration, and practical outcomes.