Infrastructure Engineer (AI Platforms)
About The Position
We are building a large-scale, enterprise-grade AI platform that supports advanced machine learning systems end-to-end—from model development and training to secure, reliable, production deployment. We are looking for a senior infrastructure leader who has designed and operated modern ML platforms at scale and understands the operational, security, and reliability challenges of real-world AI systems. This role sits at the intersection of infrastructure engineering, MLOps, DevOps, and security, with a mandate to build systems that are fast for developers, safe for the business, and resilient in production.
Requirements
- 10+ years of experience in infrastructure, platform, or systems engineering.
- Deep, hands-on experience with Kubernetes in production.
- Strong background in MLOps and ML platform operations.
- Experience across DevOps, CI/CD, and cloud infrastructure (AWS, GCP, or Azure).
- Proven ability to design secure, enterprise-grade systems.
- Proficiency in Go, Python, Java, or similar.
Nice To Haves
- Experience supporting GPU-accelerated workloads.
- Familiarity with security and compliance frameworks.
- Experience building internal platforms for multiple teams.
- Prior work on enterprise-facing AI platforms.
Responsibilities
- Architect and own the core infrastructure for AI and ML workloads, including training, inference, experimentation, and evaluation.
- Design and operate Kubernetes-based platforms for scalable, reliable, and cost-efficient AI workloads.
- Build and evolve MLOps pipelines: model training, versioning, deployment, monitoring, rollback, and lifecycle management.
- Establish best practices for DevOps and CI/CD across data, ML, and application layers.
- Lead security and compliance for AI systems: secrets management, access controls, isolation, auditability, and supply-chain security.
- Ensure high availability, observability, and incident response for production AI services.
- Partner closely with ML engineers, researchers, and application teams.
- Set technical direction, review designs, and mentor engineers.
Benefits
- Own and shape the foundation of a next-generation AI platform.
- High-impact, high-autonomy role with architectural authority.
- Competitive compensation and long-term growth.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
