DevOps Engineer - AI Security Team
Core
Design, build, and operate reliable on-premise infrastructure and CI/CD pipelines for ML and AI workloads, including model training, evaluation, serving, and GPU resources.
Role type
Senior DevOps Engineer (AI Security & Infrastructure)
Builds
Production-grade on-premise infrastructure, CI/CD pipelines, and ML/AI serving environments
Domain
AI Security, On-premise Infrastructure, MLOps
Deliverable
production ML models
Required skills
Linux, networking, Docker, Kubernetes, CI/CD pipelines, Python, Bash, Go, infrastructure-as-code, Terraform, Ansible, observability, incident troubleshooting
Preferred skills
HashiCorp stack, MLOps, AI infrastructure, DevSecOps, on-premise infrastructure, research-oriented R&D, Rust, Kotlin
Technologies
Docker, Kubernetes, GitLab CI, Terraform, Ansible, Python, Bash, Go, Rust, Kotlin
Responsibilities
Build and operate reliable on-premise infrastructure; Build and maintain CI/CD pipelines with security scanning; Manage container orchestration and workload scheduling; Operate secrets management and database services; Automate provisioning using infrastructure-as-code; Drive observability and troubleshoot infrastructure issues; Partner with researchers to translate requirements into robust systems
Seniority
Senior, hands-on IC
