As a DevOps Engineer, you’ll design and operate the infrastructure that powers our production AI detection platform. You will own cloud architecture, reliability, deployment pipelines, and security posture—ensuring our systems can scale to global demand while remaining resilient, observable, and cost-efficient. This is a hands-on role with real ownership over platform decisions and technical direction. Responsibilities include: Architect and operate high-availability, low-latency cloud infrastructure for real-time AI inference services. Build and maintain CI/CD pipelines that support rapid, safe iteration across backend and ML systems. Own production reliability: monitoring, alerting, incident response, and capacity planning. Lead infrastructure automation using Infrastructure as Code (Terraform, Pulumi, etc.). Partner closely with backend and ML engineers to productionize new models and services. Harden our systems for security, compliance, and data protection. Optimize cost, performance, and scalability as usage grows. Establish best practices around observability, deployment strategies, and disaster recovery.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees