Staff SRE, Agentic AI
Netskope(1 month ago)
About this role
The SRE MLOps role is responsible for building and operating the core infrastructure that enables AI/ML research and production systems. The position works closely with AI/ML engineers and researchers to bridge research and production, ensuring training environments and client-facing APIs are reliable, available, and reproducible. The role focuses on improving system reliability, performance, and time-to-market for large-scale ML workloads.
Required Skills
- Docker
- Kubernetes
- Python
- Bash
- Terraform
- Prometheus
- Grafana
- PyTorch
- Hugging Face
- TensorRT
+18 more
Qualifications
- BS in Computer Science
- MS in Computer Science (Preferred)
About Netskope
netskope.comNetskope is a cloud-native security company that helps organizations secure cloud services, web traffic, and private applications while protecting data and AI workloads across users, devices, and locations. Its platform provides unified visibility and control with SASE and SSE capabilities — including CASB, DLP, SWG, ZTNA, cloud firewall, threat protection, and API-based controls — to stop data loss and advanced threats in real time. Enterprises use Netskope to simplify security operations, enforce zero-trust access, and optimize application performance and compliance as they adopt cloud and AI services.
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