Staff DevOps Engineer
Archer, San Jose, California +1
What you will do
As a Staff DevOps Engineer, you will architect, develop, and scale the core services, real-time data pipelines, and distributed infrastructure that power our cutting-edge AI products. You will bridge the gap between complex AI models and production-ready systems, ensuring that our high-throughput, real-time data streaming environment is reliable, secure, and infinitely scalable.
- Architect and maintain highly available backend systems, distributed data pipelines, and scalable cloud infrastructure to support real-time AI applications.
- Leverage infrastructure-as-code (IaC) and cloud-native tooling to build, manage, and optimize our production, staging, and development environments.
- Build and manage stream-processing jobs capable of handling global, high-frequency data streams with ultra-low latency.
- Work cross-functionally with AI Research, Engineering, and Data Science teams to containerize, deploy, orchestrate, and monitor scalable ML models and infrastructure.
- Own the full development lifecycle—from system design and infrastructure provisioning to deployment, proactive monitoring, and capacity planning.