招聘
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:
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Contribute to Python-based tooling that powers shared AI platform services and internal automation
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Assist in developing and maintaining reusable infrastructure modules (Terraform) used across ML workloads
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Support shared CI/CD pipelines that standardize how models and AI services are built, tested, and deployed
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Help improve internal platform services that accelerate AI integration for product teams
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Assist in containerizing and deploying ML and LLM-powered applications into standardized environments
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Contribute to monitoring, logging, and alerting for shared AI services to improve reliability and uptime
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Support secure integration patterns between AI services and proprietary data sources
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Collaborate with data scientists and product teams to productionize models using shared platform capabilities
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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
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How production ML systems are deployed, monitored, and operated
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Core MLOps concepts (model lifecycle, reproducibility, deployment strategies)
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Cloud infrastructure patterns for scalable AI systems
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CI/CD design for infrastructure and ML workloads
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Security considerations when supporting AI systems and proprietary data
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Best practices for documentation, collaboration, and operational excellence
What You Need
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Currently pursuing a degree in Computer Science or a related field (graduation date between fall 2026 and spring 2027)
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Strong fundamentals in programming (Python preferred)
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Familiarity with Linux/Unix environments and Git workflows
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Basic understanding of cloud computing concepts
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Interest in DevOps, platform engineering, and AI/ML systems
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Strong written and verbal communication skills
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Ability to learn quickly and collaborate effectively within a team
What Will Help
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Exposure to Docker or Kubernetes
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Familiarity with Terraform or other Infrastructure as Code tools
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Coursework or projects involving ML or AI systems
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Interest in large language models or modern AI tooling
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Awareness of security best practices in cloud environments
Why This Internship Is Unique
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Direct exposure to real production AI and LLM systems
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Experience working on shared AI services that impact multiple product teams
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Hands-on involvement in secure cloud infrastructure supporting sensitive data
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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:
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Competitive compensation
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Comprehensive benefits
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Career success on your terms
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Flexible work environment
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Annual wellness and community outreach days
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Always on recognition for your contributions
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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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About Proofpoint
Reviews
4.1
1 reviews
Work Life Balance
3.5
Compensation
2.0
Culture
3.0
Career
3.5
Management
3.0
55%
Recommend to a Friend
Pros
Opportunity to work on security product
Experience with full stack development
Convenient location/close to home
Cons
Below market compensation
Limited backend/general CS exposure
Salary not competitive with other offers
Salary Ranges
509 data points
Mid/L4
Senior/L5
Mid/L4 · Information Security Analyst
2 reports
$182,114
total / year
Base
$140,088
Stock
-
Bonus
-
$180,898
$183,331
Interview Experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
100%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Phone Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
News & Buzz
Proofpoint details TA584’s fast-evolving 2025 attacks - SecurityBrief Australia
Source: SecurityBrief Australia
News
·
5w ago
Proofpoint Names Joyce Kim as Chief Marketing Officer - The Software Report
Source: The Software Report
News
·
6w ago
Proofpoint: The $12B Deal Behind an AI-Driven Cybersecurity Leader - Thoma Bravo
Source: Thoma Bravo
News
·
7w ago
Latham Advises on Financing for Proofpoint’s Completed Acquisition of Hornetsecurity - Latham & Watkins LLP
Source: Latham & Watkins LLP
News
·
13w ago
