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Cloud Infrastructure Architect for AI/ML Platforms
3 weeks ago
We are seeking a highly skilled Cloud Infrastructure Architect to join our team at AVENGA. As a key member of our infrastructure team, you will design, develop, and maintain a secure and scalable multi-tenant AWS platform for Data Scientists and ML Engineers.
Key Responsibilities:- Automate cloud infrastructure using Terraform and follow Infrastructure-as-Code and GitOps best practices.
- Develop and manage CI/CD pipelines (GitLab, ArgoCD) to support efficient and reliable software delivery.
- Support deployment, monitoring, and maintenance of MLOps tools like Amazon SageMaker, MLflow, or Kubeflow.
- Ensure compliance with cloud architecture and security standards, including IAM and network configurations.
- 4+ years in DevOps or Cloud Infrastructure roles.
- Strong hands-on experience with AWS services, including IAM, VPC, EC2, S3, and EKS.
- Proficiency in Terraform, Git, Bash, and Python.
- Experience with containerization (Docker) and orchestration (Kubernetes, EKS, GKE, or AKS).
- CI/CD pipeline design using tools like GitLab, Argo CD.
- Familiarity with monitoring, logging, and alerting (e.g., CloudWatch, Prometheus, Grafana).
- Experience with MLOps tools (e.g., SageMaker Studio, MLflow, Kubeflow).
- Background in Machine Learning or Data Science workflows.
- Understanding of Service Catalog item deployment and management.
- Exposure to multi-cloud environments (GCP, Azure).
- Good communication skills and ability to work in cross-functional teams.
- English at minimum B2 level.
- Understanding of Agile and DevOps principles.
- Strong analytical thinking and problem-solving skills.
- Opportunity to work on cutting-edge AI/ML projects.
- Collaborative and dynamic work environment.
- Professional development opportunities.
- Competitive salary and benefits package.
- Relocation assistance available.
