Software Engineering Intern- Summer 2026

Veeam Software•San Jose, CA

1d•Hybrid

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 is designed for students leading into their final year of university, who want to gain real life work experience in a fast past, exciting and professional environment. As a Summer Intern, you will participate in onboarding with the UR team that will set you up for success in your role. You will also benefit from professional development sessions, networking, and social events provided by the Internship Program. The program takes place from June – August 2026 (12 week program)

Requirements

Currently pursuing a Bachelors or Master’s degree in Computer Science, Software Development / Software Engineering, Systems Engineering, Cybersecurity, or other closely related fields.
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.
Must be in office 2-3 days a week at the San Jose, California location.
Applicants must be authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa now or in the future.

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.
Deploying and managing 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.
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.
Help 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.