Intern
GM Financial
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- AgileREST APIsVulnerability managementStatisticsData analysisNetworking
- Nice to have
- LLMs
- Work
- Hybrid in Arlington · internship
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs8%Agile7%Statistics6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
The Software Development Engineer Intern supports Agile development teams by contributing to software development, testing, and continuous improvement initiatives. This role participates in Scrum ceremonies, team meetings, and feature development efforts across web, mobile, API, and data-driven applications while gaining hands-on experience with modern engineering practices. The intern also assists with DevOps tooling enhancements, vulnerability remediation, and production support activities focused on reliability, scalability, and product quality. This position provides exposure to the full software development lifecycle and opportunities to collaborate on innovative technology solutions.
Key Responsibilities
- Attend and participate in Scrum events (the sprint, daily stand-ups, sprint planning, sprint review, sprint retrospective).
- Participate in team or departmental meetings.
- Assist with vulnerabilities remediation.
- Assist with building/improvement of DevOps tooling (e.g., pipelines, static scanning).
- Complete the internship program final capstone presentation.
- Maintain a production-first mindset focused on scale, uptime, and the ability to rapidly triage/resolve production issues.
- Invest in our Agile practice to continuously improve product quality and time to market.
- Learn to develop product features for any of the following: data marketplaces, mobile applications, web applications, and API services.
Requirements & Tech Stack
- Junior or Senior classification preferred.
- Strong written and verbal communication skills required.
- Strong analytical, quantitative, problem-solving, and conceptual skills required.
- Must be detail-oriented and able to prioritize tasks to meet deadlines.
- Must be able to work independently or in a team setting.
Additional Knowledge and Skills
Working effectively within an AI enabled environment:
- Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
- Skills in evaluating AI outputs for accuracy, compliance, and bias.
- Experience integrating AI into workflows to improve efficiency or insights.
- Familiarity with AI assisted research, summarization, and content generation.
- Understanding of responsible AI use, including ethics and data protection.
AI Skills Preferred:
- Experience with AI-assisted software development or automation.
- Knowledge of prompting techniques to improve output quality.
- Awareness of emerging GenAI capabilities and limitations.
Qualifications
- Must be a student pursuing a bachelor's degree or higher from an accredited college or university in Computer Science, Data Science, Data Analytics, Information Systems, Statistics with at least one semester remaining upon start of the internship.
- Must possess a minimum of a 3.0 (out of a 4-point scale) GPA.
- Previous internships are considered a plus.
Program Offers
- 11 weeks of work experience (May 26th - August 7th).
- Executive and peer networking opportunities.
- Independent and team project experiences.
- Philanthropic activities.
- Career development.
- Opportunity to apply for full-time career positions.
Work Environment
- Competitive pay.
- Flexible hybrid work environment, 3-days a week in office.