Platform, Security & AI Engineering Intern (Summer 2027)

• 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)
• 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

Benefits

• Unlimited paid time off, plus 3 global VeeaMe Days for self-care
• Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
• Medical, dental, and vision coverage from day one
• 401(k) retirement plan with matching contributions up to annual limits
• Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
• Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
• AirVet: 24/7 virtual veterinary care at no cost
• Legal services, identity protection, and supplemental health insurance options
• Tax-advantaged spending accounts for healthcare, dependent care, and commuting
• Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program- Ability to work independently with limited direction in a fast-paced environment; must be a high-energy, motivated self-starter
• Rising Junior or Senior pursuing a Bachelor’s degree or a graduate student in an accredited college or university
• Passion & Drive: Strong willingness to learn, innovate, and contribute to the intersection of Cyber Security, Data Resilience, and AI
• Security & AI Knowledge: Familiarity with Cyber & Data Security practices, alongside a foundational understanding of AI Agents, LLMs, and Agent Evaluations
• 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
• Infrastructure & Tooling: Experience with Kubernetes and containerization
• Collaboration: Basic knowledge of Git and GitHub for collaborative software development
• Systems Engineering
• Software Development / Software Engineering
• Currently pursuing a major in:
• Or other closely related fields
• Cybersecurity
• Computer Science
• 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