Systems Engineer Intern

Job Description

Visa’s Internship Program provides an immersive, 12-week journey where you’ll work on impactful projects that drive Visa’s mission forward. As a Visa intern, you’ll build valuable connections across the organization, sharpen your communication and business acumen, and gain hands-on experience in a dynamic, global environment. 

Throughout the program, you’ll have exclusive access to interactive workshops and learning sessions designed to deepen your expertise, expand your industry knowledge, and elevate your professional skillset. You won’t just be learning, you’ll be contributing, collaborating, and innovating every step of the way. In addition to professional development, you’ll enjoy a variety of intern social events that foster community, connection, and fun throughout the summer. 

The experience culminates in an exciting final presentation, where you’ll showcase your project achievements, share key insights, and present your recommendations to Visa’s leaders and stakeholders. This is your chance to demonstrate your business impact, highlight your personal growth, and align your work with Visa’s vision for the future. 

We are seeking Systems Engineer interns across our Technology organization. As an intern, you will take on meaningful work, engage in out-of-the-box problem solving, and participate in global case challenges and impactful initiatives. You will get the chance to work with multiple teams, systems, and products through a wide variety data sources. From technology to business, we are looking for people who can innovate, collaborate and bring Visa into the next level of a rapidly evolving digital marketplace.

During the internship, you will work on one or more hands-on projects with the team. Our summer internship also equips you with social and professional networking events and developmental workshops, designed to provide you the resources and training to have an impactful summer.

Some examples of previous summer intern job duties and projects:

• Leverage Generative AI tools to automate system administration tasks, streamline workflows, and reduce manual intervention
• Monitor system health using AI-driven analytics and proactively address potential issues before they impact service availability
• Communicate and work in a global distributed team 
• Maintain and manage SharePoint lists and workflow to improve process and efficiency
• Identify a pattern in existing historic data and suggest improvements
• Collaborate with the team to transform data to help make business decisions and build insights
• Employ creative methods for problem solving

As a summer Intern, you will be placed in one of the technology organizations at Visa and specific assignments will depend on upon your skills sets, interest, and team needs.

Qualifications

Basic Qualifications

• Pursuing a Bachelor's degree in Computer Science, Computer Engineering, Data Science, CIS/MIS, or a related field, graduating December 2026-August 2027.

Preferred Qualifications

• Proficiency in at least one programming or scripting language such as Java, JavaScript, HTML, Python, Perl, shell scripting, Jupyter Notebook, etc.
• Experience with the setup, configuration, and maintenance of server and storage hardware (e.g., Dell, HPE, Supermicro) and GPU platforms (e.g., NVIDIA)
• Familiarity with Generative AI tools and concepts, and an interest in applying them to infrastructure management
• Knowledge of cloud technologies and platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Familiar with data visualizing tools like Excel, MS Power BI, Tableau, etc.
• SQL query skills or familiarity with RDBMS would be a plus
• Showcase hands-on data handling to leverage new technologies to help drive critical business decisions
• Strong written and verbal communications skills
• The ability to take on challenges and address problems head-on 
• Strong ability to collaborate
• Highly driven, resourceful and results oriented
• Good team player and excellent interpersonal skills
• Good analytical and problem-solving skills
• Demonstrated ability to lead and navigate through ambiguity