Platform, Security & AI Engineering Intern - Summer 2027
Veeam Software · San Jose, United States · 17d ago
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 (10-12 week program).
Your Role
What You Could Be Working On
- Backend & Infrastructure: Write backend code and automation in Go within a large, production-grade codebase. You will learn established patterns for scalable infrastructure under the guidance of senior engineers, deploying and managing containerized applications across Kubernetes clusters and AWS infrastructure (EKS, ECR, IAM).
- AI & Agent Development: Build long-running agents that unleash the full power of the Securiti AI + Veeam platforms for CISOs and security analysts. This includes unlocking automated breach impact analysis, compliance reporting, and data access auditing across hybrid multicloud environments.
- Agent Evaluation & Knowledge Pipelines: Develop Agent Evaluation Pipelines to measurably assess reliability and task completion rates. You will also build knowledge discovery pipelines that surface institutional knowledge (policy research, compliance frameworks) into agent-consumable layers for sharper decision-making.
- Security & Vulnerability Management: Analyze Kubernetes deployment configurations to identify and fix security gaps. You will help manage the CVE lifecycle by identifying and patching vulnerabilities in container images to harden the platform.
- Tooling & Reliability: Develop internal tooling, testing harnesses, and security utilities to improve team productivity. You will also execute and validate API and cross-service integration tests to ensure system reliability as the platform evolves.
Requirements
- Rising Junior or Senior pursuing a Bachelor’s degree or a graduate student in an accredited college or university
- Ability to work independently with limited direction in a fast-paced environment; must be a high-energy, motivated self-starter
This role requires you to be in office 5 days a week at the San Jose, California location
What We're Looking For
- Passion & Drive: Strong willingness to learn, innovate, and contribute to the intersection of Cyber Security, Data Resilience, and AI.
- Technical Foundation: High level of comfort in a major programming language (Python, Go, or Java preferred). You should understand core data structures, algorithms, and how to independently debug your own code.
- Security & AI Knowledge: Familiarity with Cyber & Data Security practices, alongside a foundational understanding of AI Agents, LLMs, and Agent Evaluations.
- Infrastructure & Tooling: Experience with Kubernetes and containerization.
- Collaboration: Basic knowledge of Git and GitHub for collaborative software development.
Nice To Have
- Cloud & Infrastructure: Working knowledge of Kubernetes/Helm and an understanding of the basics of CI/CD pipelines.
- Architecture: Exposure to event-driven systems (e.g., Redis Pub/Sub, NATS) and experience with workflow orchestration systems like Temporal.
- GenAI Expertise: Understanding or prior experience with GenAI concepts like RAG, Vector Databases, and Embeddings.
- AI Frameworks & Pipelines: Usage of AI frameworks (e.g., LangChain, LangGraph) and an understanding of how to develop, tune, and deploy AI/ML frameworks and Data Model pipelines.
Targeted Field of Study
Currently pursuing a major in:
- Computer Science
- Software Development / Software Engineering
- Systems Engineering
- Cybersecurity
- Or other closely related fields.
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.