Infrastructure & Engineering Development Program Internship
About The Position
Optum’s Global Technology Services (GTS) Infrastructure and Engineering Development Program is a 10-week, in-office internship for students interested in operating and automating enterprise technology. Interns are embedded with a GTS team, participate in day-to-day operational work, and own a visible project that they present to mentors and leaders. Each intern receives a formal mentor and joins a cohort for networking, learning, and exposure to senior leaders. The program emphasizes building technology that can be operated reliably, securely, cost-effectively, and with a strong end-user experience. Interns use AI tools as a default part of their work and learn to translate business needs into technology outcomes. Structured onboarding covers AI fundamentals and productivity tools, cloud and infrastructure basics, security awareness, and GTS operations. Interns are assigned to a team and focus area according to business needs. Focus areas include AIOps and AI for IT Operations; Automation, DevOps and Tooling; Infrastructure and Cloud Operations; Site Reliability Engineering, Observability and Resiliency; and Identity, Access and Employee Experience. The internship is intended to create a pipeline for future opportunities, including return internships or full-time employment, subject to eligibility, performance, and business needs. The position is full-time, runs from June 1, 2027, through August 6, 2027, and requires working in-office five days per week in Eden Prairie or Minneapolis, Minnesota. Alternate dates are unavailable. Housing assistance may be available to eligible interns. Sponsorship is not available.
Requirements
- Currently pursuing a two-year technical college degree, bachelor's degree, or master's degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Management Information Systems, or another technology-focused discipline.
- Foundational understanding of Artificial Intelligence, Machine Learning, and Large Language Models, with demonstrated ability to use AI tools to improve productivity and problem-solving.
- Remain actively enrolled in an accredited college, university, or two-year technical college throughout the internship; the internship is not intended for graduating seniors.
- Demonstrate problem-solving and analytical thinking, collaboration and teamwork, adaptability and learning agility, and curiosity.
- Be eligible to work in the United States without company sponsorship, now or in the future, for employment-based work authorization. Applicants requiring sponsorship, including specified visa holders, will not be considered.
- Work in-office five days per week for the internship period, June 1 through August 6, 2027.
Nice To Haves
- Completion of at least two years of study and ability to return for a second aligned internship cycle.
- Coursework or project experience in networking, systems administration, cloud, or site reliability engineering.
- Working knowledge of at least one technology-operations scripting or programming language, such as Python, PowerShell, Bash, Java, C#, or JavaScript.
- Exposure to cloud technologies such as AWS, Azure, or Google Cloud Platform, and to containers and Kubernetes.
- Familiarity with source control systems such as Git or GitHub, CI/CD pipelines, and infrastructure as code.
- Data literacy and analytics skills, including the ability to work with operational data.
- Ability to apply AI-enabled tools and automation to analysis, reporting, monitoring, or problem-solving in technology operations.
- Ability to build effective prompts and use AI tools to explore data, summarize technical information, or generate insights.
- Ability to integrate AI into workflows such as reporting, dashboards, and operations processes.
- Ability to collaborate with teams to identify opportunities for technology and AI to improve processes or user experiences.
- Basic familiarity with responsible, compliant, and secure use of AI tools.
- Understanding of Agile frameworks, methodologies, roles, and tools, such as Kanban, Scrum, SAFe, or LeSS.
- Participation in technical activities such as technology clubs, hackathons, home labs, side projects, or GitHub, and/or technology-related employment experience.
Responsibilities
- Participate in day-to-day operational work with an assigned Global Technology Services team.
- Own a dedicated, visible project and present the work to mentors and leaders.
- Use AI tools to support work and learn to translate business needs into technology outputs.
- Complete onboarding covering AI fundamentals and productivity tools, cloud and infrastructure basics, security awareness, and GTS operations.
- Depending on team assignment, contribute to work involving AI for IT operations; automation, DevOps and tooling; infrastructure and cloud operations; reliability, observability and resiliency; or identity, access and employee experience.
- Work alongside and learn from a formal mentor and senior technologists.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
- Housing assistance may be available for those who meet eligibility requirements.
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What This Job Offers
Career Level
Intern
Education Level
Associate degree
