Policy Engineering Intern- Summer 2027

About the role

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk.

Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.

Your Role

Join the Policy Engineering team and contribute to building an enterprise-grade cloud data governance platform used by Fortune 500 clients to manage and protect sensitive data across complex, multi-cloud environments.

• Develop internal tooling, testing harnesses, and AI-assisted developer utilities that improve team productivity and engineering quality - owning small-to-medium scoped projects with real impact on day-to-day engineering workflows.
• Write backend code in Go within a large, production-grade codebase - learning established patterns and conventions under the guidance of senior engineers and tech leads.
• Build and maintain automated test suites and evaluation frameworks to validate system behavior, helping the team catch regressions and ensure correctness as the product evolves.
• Explore and prototype AI/LLM-powered tooling to assist with development workflows - such as automated test generation, code analysis utilities, or documentation assistants.
• Collaborate closely with senior engineers - attending design discussions, sprint planning, and code reviews as a participant, gaining exposure to how large-scale distributed systems are architected and delivered.
• Ramp up on modern backend and cloud engineering practices including distributed systems concepts, event-driven architecture, multi-tenant SaaS design, and cloud infrastructure.

Additional information

What you'll gain: Hands-on experience shipping real software in a production engineering environment, mentorship from senior engineers, and deep exposure to enterprise cloud and data platform engineering.

Requirements

• This role requires you to be in office 5 days a week at the San Jose, California location

Qualifications

• Currently pursuing a Bachelors or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong problem-solving and analytical skills.
• Must be able to exhibit prior use of AI tooling
• Ability to work independently in a dynamic, fast-paced environment; high-energy, motivated self-starter.
• Detail-oriented with a proactive, problem-solving mindset
• Comfortable working in a fast-paced, collaborative environment
• Strong organizational skills with the ability to manage multiple moving pieces

Benefits

As a paid intern at Veeam, you'll receive

• Paid Company Holidays during your internship
• Tech Stipend to help set up your workspace
• 8 Hours of Paid Volunteer Time through our Veeam Cares Program
• Personal and Professional Development through our Internship Program

• We're committed to providing a supportive and rewarding internship experience.
• The pay range posted is an hourly rate of base pay. When making an offer of employment, Veeam will take into consideration the candidate's expectations, experience, education, scope of responsibility for the role, and the current market demands.
• United States of America Intern Pay Range $40 - $50 USD

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.