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
The Role
We are seeking a Senior MLOps Engineer to join our Machine Learning and Data Science Team at Proofpoint. This role is key to building and maintaining the infrastructure that brings machine learning models from development to production. Your contributions will directly impact how fast and safely we ship ML models to production, reinforcing Proofpoint's mission to protect organizations from security risks.
What you'll do:
- Design, build, and maintain CI/CD pipelines for ML model training and deployment (Harness, GitHub Actions, or similar).
- Manage container images, base image governance, and vulnerability remediation for ML inference services.
- Deploy and operate ML inference endpoints on Kubernetes across AWS and Azure environments to ensure our inference services are secure, scalable and reliable.
- Lead FedRAMP compliance efforts for ML infrastructure: security controls, audit preparation, vulnerability scanning (Snyk, CIS), and remediation.
- Manage cloud resources (GPU nodes, compute clusters, IRSA configurations) to support model serving at scale.
- Collaborate with data scientists and ML engineers to streamline the path from experiment to production.
- Monitor infrastructure health, model serving performance, and cost efficiency across clusters.
- Maintain documentation for deployment processes, security reviews, and infrastructure architecture.
- Stay current with MLOps tooling, cloud-native technologies, and security best practices.
What we're looking for:
- 5+ years of machine learning experience with frameworks like (PyTorch, TensorFlow); model serving is a plus.
- Strong Proficiency in Python, with experience in infrastructure-as-code tools (Terraform, Helm, or similar).
- Strong experience with Kubernetes (deployment, scaling, troubleshooting) in production environments.
- Hands-on experience with CI/CD platforms (Harness, Jenkins, GitHub Actions).
- Familiarity with container security: image scanning, vulnerability management, base image pipelines.
- Experience with AWS services (S3, SageMaker, EKS, ECR, IAM/IRSA) and Azure (AKS, Azure ML).
- Knowledge of security compliance frameworks (FedRAMP Moderate, SOC2, or similar).
- Experience with ML model serving frameworks (TorchServe, Triton, or custom inference endpoints).
- Strong SQL skills for querying operational and telemetry data.
- Familiarity with observability tools (Prometheus, Grafana, Datadog) for monitoring ML systems.
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 [email protected].
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
Skills Required
- 5+ years of machine learning experience, including frameworks such as PyTorch or TensorFlow
- Strong Python proficiency
- Experience with infrastructure-as-code tools such as Terraform or Helm
- Strong production Kubernetes experience, including deployment, scaling, and troubleshooting
- Hands-on experience with CI/CD platforms such as Harness, Jenkins, or GitHub Actions
- Experience with container security, image scanning, vulnerability management, and base image pipelines
- Experience with AWS services including S3, SageMaker, EKS, ECR, IAM, and IRSA
- Experience with Azure services including AKS and Azure ML
- Knowledge of FedRAMP Moderate, SOC 2, or similar security compliance frameworks
- Experience with ML model serving frameworks such as TorchServe, Triton, or custom inference endpoints
- Strong SQL skills for querying operational and telemetry data
- Familiarity with observability tools such as Prometheus, Grafana, or Datadog
Proofpoint Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Proofpoint and has not been reviewed or approved by Proofpoint.
-
Healthcare Strength — Healthcare coverage spans medical, dental, vision, life, and disability, complemented by global physical, mental, and financial health programs. Wellbeing resources such as mindfulness, resilience, and meditation courses are explicitly highlighted.
-
Leave & Time Off Breadth — Time-off provisions include PTO, paid holidays and sick days, with parental and family medical leave available. Added flexibility appears in wellness days, a hybrid-first model, and limited work-from-anywhere periods.
-
Fair & Transparent Compensation — Pay is considered competitive in many roles and settings, with external recognition indicating strong standing relative to peers. Feedback suggests employees in several departments view compensation favorably when considering base, bonus, and benefits together.
Proofpoint Insights
What We Do
We provide the most effective cybersecurity and compliance solutions to protect people on every channel including email, the web, the cloud, and social media.
