IT Intern

GuideWell Source

. Participate in Florida Blue's remote IT Summer Internship program .

Posted 10/7/2026full-timeJacksonville • Florida • United StatesEntry Level💰 $24 - $38 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates capabilities in Generative AI, Cloud Engineering, Cybersecurity, Data Analytics, and Application Development, with a focus on collaboration and effective communication. Proficient in programming languages and tools relevant to the technology and business processes at Florida Blue.

Highest-signal resume keywords

Generative AI Solutions DevelopmentCloud Engineering with AWS and AzureCybersecurity Principles and FrameworksData Analytics and VisualizationApplication Development with JavaScript, HTML, and CSS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaScriptHTMLCSSPythonSQLRGitData VisualizationMachine LearningBusiness Analysis Methodologies

Soft Skills

Excellent Written and Verbal CommunicationTeam CollaborationCreative and Innovative ThinkingAdaptability to Dynamic Environments

Tools & Technologies

AWSAzureLinuxKubernetesOpenShiftMicrosoft Office

Certifications & Qualifications

Security+Network+A+Linux+

Industry Keywords

Information TechnologyData ScienceBusiness ProcessesTechnology SystemsCybersecurity

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityJavaJavaScriptKubernetesLinuxOpenShiftPythonSQL

About the role

Key responsibilities & impact

Participate in Florida Blue's remote IT Summer Internship program
Work on real projects involving the business processes and technology systems that power Florida Blue and GuideWell
Receive on-the-job training and partner with a mentor from a track-specific team
Meet with leaders from all domains within the Technology organization
Engage with Executive Tech Leadership throughout the program
Present to Florida Blue's CIO and Tech Vice Presidents at the program's conclusion
Generative AI: design, build, and deploy enterprise AI solutions; work with prompt engineering, agentic workflows, tool integrations, and responsible AI practices
Infrastructure: develop and implement policies and procedures to safeguard company data, databases, and information systems; monitor and maintain complex systems
Cloud Engineering: work with infrastructure as code, networking, automation, data storage, and security using AWS and Azure
Cybersecurity: collaborate with red-team and blue-team members, work with security frameworks, and address information security challenges
Data Analytics: analyze business problems and public datasets using data wrangling, model development, visualization, business intelligence, and data quality assessment
Data Science: develop and deploy data analytics models and algorithms; analyze large datasets for trends, patterns, and insights
Application Development: develop applications, explore technologies, gather requirements, and design business solutions
Business Analyst: define and document business requirements, collaborate with developers, product owners, and testers, guide projects through production deployment, and resolve application defects

Requirements

What you’ll need

Currently enrolled as a Junior or Senior student in computer science, information technology, mathematics, psychology, or a related degree program at an accredited college/university
Cumulative GPA of 3.0 or better
Must be able to commit to working at least 30 hours a week
Basic PC skills and working knowledge of Microsoft Office products (Word, Excel, PowerPoint, and Outlook)
Basic programming knowledge, JavaScript/HTML/CSS, or other object-oriented programming experience
Excellent written and verbal communication skills
Team- and collaboration-oriented
Ability to work under minimal supervision and adapt to a dynamic, changing environment
Creative and innovative thinker
Track-specific qualifications, including Python, SQL, R, Java, JavaScript, HTML, CSS, Git, AWS, Azure, Linux, Kubernetes, OpenShift, cybersecurity principles, machine learning, data visualization, databases, and business analysis methodologies, as applicable
Data Science track: currently pursuing a Bachelor's or Master's degree in a specified quantitative or technical field
Completed or in-progress Security+, Network+, A+, and/or Linux+ certifications preferred for Cybersecurity
Experience with AWS or Azure preferred for Cloud Engineering
Experience with SQL databases preferred for Business Analyst

Benefits

Comp & perks

Medical, dental, vision, life and global travel health insurance
Short- and long-term disability programs
Leave programs to support personal circumstances
Retirement Savings Plan including employer match
Paid time off
Volunteer time off
10 holidays
2 well-being days
Additional voluntary benefits
Comprehensive wellness program
Competitive pay
Opportunities for incentive or commission compensation
Annual reviews with pay-for-performance considerations for base pay increases