Skills
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CI/CD
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AWS ꞏ 5y
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Docker ꞏ 5y
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Kubernetes ꞏ 5y
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Terraform ꞏ 5y
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Infrastructure-as-code
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System monitoring
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Kubeflow
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MLflow
- Build and maintain AWS-based infrastructure using Terraform, Kubernetes, and Docker — across both production and pre-production environments.
- Own and evolve CI/CD pipelines: automate builds, testing environments, image creation, deployments, and rollback strategies.
- Monitor and troubleshoot system performance in production: metrics, logs, traces, alerting, and runbooks.
- Support engineering teams by ensuring platform stability and improving deployment workflows.
- Work with ML and AI teams to support model integration and productionization where needed
Requirements:
- 5+ years of hands-on DevOps/SRE/Platform engineering experience in cloud-based environments.
- Deep understanding of CI/CD, infrastructure-as-code, container orchestration, and system monitoring.
- Solid experience with AWS, Kubernetes, Docker, and Terraform.
- Familiarity with ML/AI pipelines (e.g., Kubeflow, MLflow, or similar) is a plus.
- Comfortable supporting multiple teams and working across environments — local, staging, and production.
- Clear communicator in Hebrew & English; low ego, high ownership.
Wonderful.ai
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