Platform, Security & AI Engineering Intern - Summer 2027

veeamsoftware; San Jose (CA); On-site; USD 30,000 - 47,000; Full time

Benefits offered by this job

Paid company holidays

Tech stipend

8 hours volunteer time

Job summary

Veeam is offering a Summer Internship program in San Jose for rising juniors and seniors pursuing CS or related fields, with a focus on Go/Python development, Kubernetes infrastructure, and AI-enabled security tooling.

You will rotate through Backend, AI/Agent Development, and Security tracks, gaining hands-on experience in production-grade systems and cross-functional collaboration within the University Relations team. On-site at San Jose campus, June–August 2027, 10–12 weeks.

Qualifications

• 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.

Responsibilities

• Backend & Infrastructure: Write backend code and automation in Go within a large, production-grade codebase.
• AI & Agent Development: Build long-running agents that power Securiti AI + Veeam platforms for CISOs and security analysts.
• Agent Evaluation & Knowledge Pipelines: Develop evaluation pipelines and knowledge discovery for sharper decisions.
• Security & Vulnerability Management: Analyze Kubernetes deployments to identify security gaps and patch vulnerabilities.
• Tooling & Reliability: Develop internal tooling and testing harnesses for reliability.

Skills

Python

Go

Java

Kubernetes

Git

GitHub

Cyber Security

AI/ML

Education

Bachelor's degree in Computer Science or related field

Graduate student status

Tools

Kubernetes

Helm

Redis Pub/Sub

NATS

Temporal

LangChain

LangGraph

Job description

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

• Computer Science
• Software Development / Software Engineering
• Systems Engineering
• Cybersecurity
• Or other closely related fields.

Benefits

• 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 int