Information Technology Intern- Summer 2027

The Development teams design, build, and support the software applications that keep Meijer competitive. Interns work with current technologies to design, code, test, and ship applications for digital shopping, Pharmacy, Finance, Merchandising, and Supply Chain, as well as our enterprise and retail store systems. Interns also contribute to business analytics and reporting work.

The Enterprise Systems and Tools team owns the platforms the company runs on, including our Human Capital Management system and the enterprise business applications and tooling used across Meijer. Interns work on configuration, integration, and process improvement for systems thousands of team members rely on daily.

The IT Enterprise Architecture team sets technical direction, defining enterprise solution architecture and managing the application portfolio so investments fit together coherently. Interns get a rare cross-company view of how technology decisions are made and sequenced.

The Operations and Infrastructure team provides the foundation the company runs on, managing business-critical components such as network and voice communications, cloud services, middleware, enterprise monitoring, data platforms, operating system and network support, and client services. Interns have the opportunity to work with cloud technologies and with automation and machine learning approaches used for issue detection and self-healing.

Specific requirements vary by project. You do not need every item below — tell us what you have and what you want to learn.

Microsoft technologies and tools including Azure,.NET / C#, ASP.NET Core, SQL Server, Microsoft 365, and SharePoint

Java, Python, or TypeScript / JavaScript

REST and GraphQL APIs

Modern front-end frameworks such as React, Angular, or Vue

Familiarity with common design patterns such as MVC or MVVM

Mobile development — native iOS (Swift), native Android (Kotlin), or cross-platform

Enterprise platforms such as SAP and Workday

Cloud-native development concepts: containers, Kubernetes, and CI/CD pipelines

Data and analytics fundamentals: SQL, data pipelines, Databricks, or Power BI

Interest in applied AI / machine learning and generative AI

Agile and Scrum methodology

Enterprise business platforms such as Workday, SAP, or ServiceNow

Systems analysis, requirements gathering, and process mapping

Integration concepts and APIs

Solution architecture and application portfolio management concepts

Knowledge of web development, cloud services, ERP platforms, and Microsoft technologies

Basic understanding of distributed systems architecture and general knowledge of multiple technical disciplines, including PC workstations, mobile devices, servers, and troubleshooting techniques

General knowledge of telecommunications, network, and cloud technologies (Azure, AWS, or GCP)

Network management, performance monitoring, and observability tools

Infrastructure as code (Terraform) and scripting (PowerShell or Python)

Automation, AIOps, or machine learning applied to issue detection and self-healing

Developer / Analyst

Software Engineering

Information Security Analyst

Data and Analytics Development Program

Infrastructure / Cloud Engineering

Solution Architecture