Staff AI Platform Engineer

ProofpointDraper, UT
109d$148,425 - $285,230

About The Position

As a Staff AI Platform Engineer at Proofpoint, you will play a key role in shaping our AI Platform, which powers AI Research and production services. This platform spans public cloud infrastructure, shared services, developer tooling, and secure workflows that allow AI teams to innovate quickly and responsibly. You will work at the intersection of cloud platforms, production services, and AI enablement. Your contributions will accelerate AI innovation across Proofpoint while ensuring our platform remains resilient, scalable, and secure.

Requirements

  • Deep experience building and running public cloud infrastructure at scale, with strong knowledge of at least one major public cloud provider (AWS and Azure preferred).
  • Strong software engineering skills (Python preferred), with an emphasis on building maintainable, secure, and reliable systems.
  • Hands-on experience with Linux containers and orchestration (Kubernetes).
  • Track record of operating API services and/or shared infrastructure at scale.
  • Strong understanding of cloud security, identity management, and networking.
  • Ability to influence technical direction, drive cross-team initiatives, and mentor others.

Nice To Haves

  • Familiarity with distributed training for AI/ML workloads.
  • Experience with data privacy and regulatory frameworks (GDPR, CCPA, AI Act, ISO 42001, etc.).
  • Experience with privacy-preserving AI techniques (federated learning, differential privacy, homomorphic encryption, secure enclaves).
  • Understanding of adversarial ML or AI security threat modeling.

Responsibilities

  • Design and build platform resources using Infrastructure as Code (IAC) (e.g. Terraform, Helm).
  • Architect and scale secure cloud environments (AWS, GCP, Azure) that support distributed training and large-scale API services.
  • Deliver and operate shared services and tooling that empower Data Scientists and Engineers across Proofpoint.
  • Ensure reliability, security, and compliance while enabling high-velocity development.
  • Partner with AI and product teams to integrate and train models securely and efficiently.
  • Mentor other engineers, champion best practices, and influence technical direction across teams.
  • Continuously explore new technologies and approaches to improve platform performance, security, and developer experience.

Benefits

  • Competitive compensation
  • Comprehensive benefits
  • Learning & Development programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities.
  • Flexible work environment including remote options, hybrid schedules, and flexible hours.
  • Annual wellness and community outreach days
  • Always on recognition for contributions
  • Global collaboration and networking opportunities
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