Platform, Security & AI Engineering Intern - Summer 2027

Veeam Software•San Jose, CA

18h•$40 - $50•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 (10-12 week program).

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
Strong willingness to learn, innovate, and contribute to the intersection of Cyber Security, Data Resilience, and AI.
High level of comfort in a major programming language (Python, Go, or Java preferred).
Understand core data structures, algorithms, and how to independently debug your own code.
Familiarity with Cyber & Data Security practices, alongside a foundational understanding of AI Agents, LLMs, and Agent Evaluations.
Experience with Kubernetes and containerization.
Basic knowledge of Git and GitHub for collaborative software development.

Nice To Haves

Working knowledge of Kubernetes/Helm and an understanding of the basics of CI/CD pipelines.
Exposure to event-driven systems (e.g., Redis Pub/Sub, NATS) and experience with workflow orchestration systems like Temporal.
Understanding or prior experience with GenAI concepts like RAG, Vector Databases, and Embeddings.
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.

Responsibilities

Write backend code and automation in Go within a large, production-grade codebase.
Deploy and manage containerized applications across Kubernetes clusters and AWS infrastructure (EKS, ECR, IAM).
Build long-running agents that unleash the full power of the Securiti AI + Veeam platforms for CISOs and security analysts.
Unlock automated breach impact analysis, compliance reporting, and data access auditing across hybrid multicloud environments.
Develop Agent Evaluation Pipelines to measurably assess reliability and task completion rates.
Build knowledge discovery pipelines that surface institutional knowledge (policy research, compliance frameworks) into agent-consumable layers for sharper decision-making.
Analyze Kubernetes deployment configurations to identify and fix security gaps.
Manage the CVE lifecycle by identifying and patching vulnerabilities in container images to harden the platform.
Develop internal tooling, testing harnesses, and security utilities to improve team productivity.
Execute and validate API and cross-service integration tests to ensure system reliability as the platform evolves.