Senior DevOps Engineer, AI4ALL
Core
Designing and maintaining secure, scalable cloud infrastructure for high-availability AI applications and microservices.
Role type
Senior DevOps Engineer (Cloud & AI)
Builds
Cloud infrastructure, CI/CD pipelines, and verification systems for AI/ML workloads
Domain
Automotive technology, Cloud Engineering, AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
GCP (GKE, VPC, IAM), AWS, Terraform, Kubernetes, Docker, GitHub Actions, Python, Bash, Linux Administration, PostgreSQL, ClickHouse, AI/ML lifecycle tools (Kubeflow, MLflow, Vertex AI)
Preferred skills
GCP Professional Certifications, Kubernetes Certifications (CKA, CKAD, CKS), JavaScript/Node.js
Technologies
Google Cloud Platform, AWS, GKE, Terraform, GitHub Actions, Prometheus, Grafana, PostgreSQL, ClickHouse, Kubeflow, MLflow, Vertex AI
Responsibilities
Deploy and maintain secure cloud infrastructure on GCP and AWS; Manage and optimize GKE clusters for high-availability AI applications; Build and enforce Terraform strategies for infrastructure provisioning; Design and implement advanced CI/CD workflows using GitHub Actions; Build robust verification pipelines with automated testing and security scanning; Oversee database deployment, maintenance, and backup strategies; Implement comprehensive monitoring and logging solutions; Enforce security best practices for AI data and intellectual property
Seniority
Senior, hands-on IC with architectural guidance
