Senior DevOps Engineer, AI4ALL
Core
Deploy and maintain secure cloud infrastructure for high-availability AI applications and microservices, ensuring seamless integration and rapid incident response.
Role type
Senior DevOps Engineer (Cloud & AI Infrastructure)
Builds
Scalable, secure cloud environments on GCP and AWS for AI/ML workloads and backend/frontend applications.
Domain
Automotive technology, Cloud Infrastructure, AI/ML Operations
Deliverable
production ML models | infrastructure
Required skills
GCP (GKE, VPC, IAM), AWS, Terraform, Kubernetes, GitHub Actions, Docker, Linux System Administration, Python, Bash scripting, PostgreSQL, ClickHouse, AI/ML lifecycle tools (Kubeflow, MLflow, Vertex AI)
Preferred skills
GCP Professional Cloud Architect/DevOps Engineer certification, Kubernetes CKA/CKAD/CKS certification, Javascript/Node.js
Technologies
Google Cloud Platform, AWS, GKE, Terraform, GitHub Actions, Prometheus, Grafana, Kubernetes, Docker, 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 reproducible infrastructure; Design and implement advanced CI/CD workflows using GitHub Actions; Build robust verification pipelines with automated testing, linting, and security scanning; Oversee deployment, maintenance, and backup strategies for databases; Implement comprehensive monitoring and logging solutions; Implement security best practices (IAM, VPC, encryption) to protect AI data.
Seniority
Senior, hands-on IC with architectural guidance
