Kasten Engineering Intern - Summer 2027

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. About Out Summer Internship Program 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). Role Responsibilities Design, develop and test features related to Kasten by Veeam's product K10 in the area of cloud native backup and disaster recovery Preparation of design documents and use them to conduct design reviews with the team Preparation of test plans for testing features and present the test plan to the team Design and development of CI/CD (continuous integration and continuous deployment) test pipelines meant for testing features. Qualifications Pursuing a Master’s degree in Computer Science or a related field. Interest in developing, testing, and debugging production-quality, scalable, multithreaded, concurrent systems Interest in distributed systems, concepts and client-server architectures Strong computer science fundamentals (data structures, algorithms, and concurrency) You are passionate about code quality, extensibility, coding standards, testing, and automation You are impact and result-driven Nice To Have Interest in developing in Go Interest in databases and/or storage systems - especially in the public cloud Interest in developing for and on containers, container scheduler, and orchestration platforms Interest in participating and contributing to open source 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 Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. 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.