AI & Platform Security Engineer Intern

Veeam Software; San Jose (CA); On-site; USD 55,000 - 69,000; Full time

Benefits offered by this job

Paid Company Holidays

Tech Stipend

Paid Volunteer Time

Internship development program

Job summary

Veeam Software invites a Summer Intern to join the University Relations team for a 10–12 week program in San Jose. You’ll work on backend development in Go, build AI-enabled agents, and help evaluate knowledge pipelines for enterprise-grade security and data resilience.

Expect hands-on onboarding, weekly professional development, and exposure to Kubernetes, containerization, and cloud infrastructure. This paid internship emphasizes learning, collaboration, and real-world impact within a

Qualifications

• Currently enrolled as rising junior or senior pursuing a bachelor’s degree or graduate study.
• Ability to work independently in a fast-paced environment; high-energy, motivated self-starter.

Responsibilities

• Work on Backend & Infrastructure: write backend Go code and automation in a production-grade codebase.
• Develop AI & Agent features for CISOs and security analysts across hybrid multi-cloud environments.
• Build Agent Evaluation Pipelines and knowledge-discovery pipelines for decision-making.
• Analyze Kubernetes deployments for security gaps and patch vulnerabilities in container images.
• Create internal tooling, testing harnesses, and security utilities; validate API and cross-service tests.

Skills

Python

Go

Java

Kubernetes

Git & GitHub

Data Structures & Algorithms

Cyber Security Basics

Education

Bachelor’s degree candidate (CS/SE)

Graduate student

Tools

Helm

Temporal

Redis Pub/Sub

NATS

LangChain

LangGraph

Kubernetes

Job description

Veeam Software invites a Summer Intern to join the University Relations team for a 10–12 week program in San Jose. You’ll work on backend development in Go, build AI-enabled agents, and help evaluate knowledge pipelines for enterprise-grade security and data resilience.

Expect hands-on onboarding, weekly professional development, and exposure to Kubernetes, containerization, and cloud infrastructure. This paid internship emphasizes learning, collaboration, and real-world impact within a