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.
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.
Benefits
Competitive compensation
Comprehensive benefits
Learning & Development: We are committed to the growth and development of our team members, offering a range of programs including leadership and professional development workshops, stretch project assignments, and mentoring opportunities to help employees reach their full potential.
Flexible work environment: [Remote options, hybrid schedules, flexible hours, etc.].
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