Key skills
AirflowAnsibleApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonTerraformBashMLKubeflowApache AirflowPytestGCPGoogle CloudCloudFormationGitCI/CD
About this role
Role Overview
- Designing, building, and maintaining the cloud infrastructure
- Setting up scalable data storage
- Orchestrating data generation and processing workflows
- Ensuring the robust deployment of ML models and dashboards
- Monitoring system performance and troubleshooting issues
- Implementing robust testing strategies for IaC configurations and pipeline components
Requirements
- 4+ Years of experience
- Strong experience with a major cloud platform (GCP, AWS, or Azure)
- Proficiency in Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible
- Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Kubeflow Pipelines
- Demonstrated ability to implement CI/CD pipelines
- Familiarity with containerization technologies (Docker, Kubernetes)
- Proficiency in scripting languages like Python and Bash
- Experience with testing tools for infrastructure and pipelines (e.g., pytest, moto, test-infra, terratest)
- Strong command of Git
Tech Stack
- Airflow
- Ansible
- Apache
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- Kubernetes
- Python
- Terraform
Benefits
- ample opportunities to learn and grow
- diverse and hybrid work culture