Infrastructure & Engineering Development Program - Eden Prairie, MN

UnitedHealth Group•Eden Prairie, MN

13h•$60,200 - $107,400•Onsite

About The Position

The GTS Infrastructure and Engineering Development Program is a 12-month, in-person development experience for early-career technology talent. It begins with a three-week onboarding bootcamp, after which each associate joins a Global Technology Services (GTS) team for the rest of the program. Associates take ownership of real project work from day one, supported by a formal mentor and experienced technologists. The cohort-based program builds community across locations and disciplines and concludes with placement into a GTS role. The program prepares associates to support AI-enabled IT and technology services. Its approach emphasizes operating and automating services at enterprise scale, translating business needs into technology outputs, and using AI as a default part of work. Assignments are determined by business needs, program requirements, and available opportunities rather than by associate-selected tracks. Potential work 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. Work may involve AI agents and model evaluation, automation and CI/CD, cloud and data center operations, infrastructure as code, Python automation, observability and IT service management, network engineering, identity and access management, and developer productivity. The program is intended for AI-enabled IT and technology services disciplines; candidates pursuing software engineering or AI/ML engineering careers are directed to Optum's Technology Development Program.

Requirements

Be in the final year of obtaining a bachelor's or master's degree from an accredited college or university in Computer Science, Computer Engineering, Software Engineering, Information Technology, Management Information Systems, or another technology-focused discipline.
Have a foundational understanding of artificial intelligence, machine learning, and large language models, with demonstrated ability to use AI-enabled tools to improve productivity, accelerate learning, and support technical problem-solving.
Have a foundational understanding of one or more of cloud platforms, networking, infrastructure, or systems administration.
Have working knowledge of at least one scripting or programming language used in technology operations, such as Python, PowerShell, Bash, Java, C#, or JavaScript.
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.

Nice To Haves

Exposure to cloud technologies such as AWS, Azure, or GCP, containers, and Kubernetes.
Familiarity with infrastructure as code, CI/CD pipelines, and source code control systems such as Git or GitHub.
Coursework, certification, home lab, or project experience in networking, systems administration, or site reliability engineering.
Exposure to observability, monitoring, ITSM, or IT service management tools.
Data literacy and analytics skills, including working with operational data and creating straightforward reports or dashboards.
Ability to apply AI-enabled tools and automation to reduce manual effort in IT and technology operations.
Ability to build effective prompts and use AI-enabled tools to investigate issues, summarize technical information, and generate insights.
Ability to integrate AI into operational workflows such as reporting, dashboards, monitoring, and service 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 additional technical activities, such as technology clubs, hackathons, home labs, side projects, or GitHub, and/or technology-related employment experience.

Responsibilities

Own real project work from the beginning of the program, with guidance from a formal mentor and senior technologists.
Translate business needs into technology outputs.
Operate and automate technology services at enterprise scale, using AI as a default way of working.
Depending on assignment, support AI operations, automation and DevOps, infrastructure and cloud operations, site reliability and observability, or identity, access and employee experience work.
Depending on assignment, build or operate AI agents, automate processes, work with CI/CD and infrastructure as code, support cloud and data center operations, improve service reliability, or contribute to network, identity and developer productivity capabilities.
Complete the development program and transition into a GTS role.