Policy Engineering Intern- Summer 2027

Veeam Software•San Jose, CA

10d•Onsite

About The Position

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. Our Summer Internship Program is designed for students entering their final year of university who are eager to gain meaningful, real-world experience in a fast paced, collaborative, and professional environment. As a Summer Intern, you'll participate in a comprehensive onboarding experience led by our University Relations team to set you up for success from day one. Throughout the program, you'll also have the opportunity to participate in weekly professional development sessions, networking events, social activities, and other engaging experienced designed to support your personal and professional growth. The program takes place from June – August 2027 (10-week program).

Requirements

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

Responsibilities

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.