DevOps Engineer Intern – AI Forge (AIML Platform)

About Us

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people data and AI agents connect across email cloud and collaboration tools. Over 80 of the Fortunelarge enterprises and millions of smaller organizations trust Proofpoint to stop threats prevent data loss and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpointyoullbe part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

Boldin how we dream and innovate

Responsiveto feedbackchallengesand opportunities

Accountablefor results and best in class outcomes

Visionaryin future focused problem-solving

Exceptionalin execution and impact

About the Team

AI Forge is an internal machine learning group that consults across Proofpoints entire product portfolio. We are a group of data scientists and engineers who love keeping up with the latest ML research fostering a collaborative and creative workplace and solving challenging problems. Over the past several years we have developed data-driven product featuresleveraginga range of model architectures from tree-based models tostate-of-the-arttransformers. The projects have spanned the full range of modern ML techniques (deep and classical learning) approaches (supervised and unsupervised learning)and data types (textual image and structured data). Each new project surfaces novel puzzles to be solved while production deployments to our cloud AI/ML Platform expose newMLOpschallenges. Recently our organization has been spearheading company-wide initiatives around large language models and their application to the business. This work includes creating shared resources building LLM-powered applications and agentic systems accelerating internal teams through reusable services and tooling and organizing hack days.

WhatYoullDo

As a DevOps Engineer Intern you will support the AI Forge Platform team in building andmaintaininginfrastructure and shared services that enable ML development and production deployment across Proofpoint.

You will:

• Contribute to Python-based tooling that powers shared AI platform services and internal automation

• Assistin developing andmaintainingreusable infrastructure modules (Terraform) used across ML workloads

• Support shared CI/CD pipelines that standardize how models and AI services are built tested and deployed

• Help improve internal platform services that accelerate AI integration for product teams

• Assistin containerizing and deploying ML and LLM-powered applications into standardized environments

• Contribute to monitoring logging and alerting for shared AI services to improve reliability and uptime

• Support secure integration patterns between AI services and proprietary data sources

• Collaborate with data scientists and product teams to productionize models using shared platform capabilities

• Contribute to documentation that enables teams to self-serve AI infrastructure and tooling

This role provides hands-on exposure to building reusable platform capabilities rather than one-off deployments helping scale AI adoption across the organization.

WhatYoullLearn

• How production ML systems are deployedmonitored and operated

• CoreMLOpsconcepts (model lifecycle reproducibility deployment strategies)

• Cloud infrastructure patterns for scalable AI systems

• CI/CD design for infrastructure and ML workloads

• Security considerations when supporting AI systems and proprietary data

• Best practices for documentation collaboration and operational excellence

What You Need

• Currently pursuing adegree in Computer Science or a related field(graduation date between fall 2026 and spring 2027)

• Strong fundamentals in programming (Python preferred)

• Familiarity with Linux/Unix environments and Git workflows

• Basic understanding of cloud computing concepts

• Interest in DevOps platform engineering and AI/ML systems

• Strong written and verbal communication skills

• Ability to learn quickly and collaborate effectively within a team

What Will Help

• Exposure to Docker or Kubernetes

• Familiarity with Terraform or other Infrastructure as Code tools

• Coursework or projects involving ML or AI systems

• Interest in large language models or modern AI tooling

• Awareness of security best practices in cloud environments

Why This Internship Is Unique

• Direct exposure to real production AI and LLM systems

• Experience working on shared AI services thatimpactmultiple product teams

• Hands-on involvement in secure cloud infrastructure supporting sensitive data

• Mentorship from engineers building scalable AI platforms