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security docker python kubernetes ai📋 Description
- Define and drive the long-term AI platform and security architecture.
- Lead strategic AI initiatives from design to company-wide rollout.
- Oversee frontier models onboarding and massive compute scaling.
- Lead adoption at scale: standards, mentoring, reusable assets.
- Turn ideas into production software with reliable compute.
- Establish best practices and technical direction for AI across the company.
🎯 Requirements
- Bachelor’s degree in CS/engineering and 7+ years, or 9+ years in lieu of degree.
- Experience designing and operating large-scale AI/ML platforms or mission-critical infrastructure.
- Expert-level experience with Docker/Kubernetes, zero-trust security models, and multi-cloud/frontier-model integrations.
- Deep expertise in MLOps, distributed compute, model lifecycle management, and observable, reliable systems.
- Demonstrated success architecting and scaling AI gateways, secure proxy layers, or enterprise MLOps platforms serving hundreds of users.
🎁 Benefits
- Company stock and long-term incentives
- Medical, vision, dental coverage
- 401(k) retirement plan and disability insurance
- Paid parental leave and vacation
- 10+ paid holidays per year
- Employee stock purchase plan
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