DevOps Engineer Intern – AI Forge (AI/ML Platform) job opportunity at Proofpoint.



DatePosted 2 Days Ago bot
Proofpoint DevOps Engineer Intern – AI Forge (AI/ML Platform)
Experience: General
Pattern: full-time
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loacation Draper, UT, United States Of America
loacation Draper, UT....United States Of America

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 Fortune 100, 10,000 large 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 Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:  Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact 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 Fortune 100, 10,000 large 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 Proofpoint   you’ll   be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:      Bold   in how we dream and innovate   Responsive   to feedback,   challenges   and opportunities   Accountable   for results and best in class outcomes   Visionary   in future focused problem-solving   Exceptional   in execution and impact       About the Team     AI Forge is an internal machine learning group that consults across Proofpoint's 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 features,   leveraging   a range of model architectures from tree-based models to   state-of-the-art   transformers. 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 new   MLOps   challenges. 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.     What   You’ll   Do   As a DevOps Engineer Intern, you will support the AI Forge Platform team in building and   maintaining   infrastructure 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   Assist   in developing and   maintaining   reusable 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   Assist   in 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.     What   You’ll   Learn   How production ML systems are deployed,   monitored , and operated   Core   MLOps   concepts (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 a degree 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 that   impact   multiple product teams   Hands-on involvement in secure cloud infrastructure supporting sensitive data   Mentorship from engineers building scalable AI platforms     Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us: Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual wellness and community outreach days Always on recognition for your contributions Global collaboration and networking opportunities   Our Culture: Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com .   How to Apply Interested? Submit your application along with any supporting information- we can’t wait to hear from you!

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