Key skills
Infrastructure as CodeCI/CD pipelinesGoogle Cloud PlatformCloud networkingLinux scriptingAzure infrastructure managementKubernetesBigQuerySnowflakeMonitoring toolsMulti-cloud experienceIndustry certificationsAIMLAzureGCPGoogle CloudTerraformAzure DevOpsPrometheusGrafanaCI/CDCollaboration
About this role
Horizontal Talent is looking for an Infrastructure Engineer to design and automate scalable cloud infrastructure for data platforms and AI/ML workloads. The role focuses on multi-cloud environments, utilizing Infrastructure as Code principles, and involves collaboration with teams to enhance performance and reliability of infrastructure.
Responsibilities:
- Design and manage scalable cloud infrastructure utilizing Infrastructure as Code principles
- Develop and maintain automated deployment pipelines using CI/CD tools, particularly Azure DevOps
- Provision and manage cloud resources on platforms like GCP and Azure, including networking and security aspects
- Collaborate with teams to support data platforms and AI/ML infrastructure, enhancing performance and reliability
- Implement secure and compliant architecture, optimizing costs and performance
- Document infrastructure solutions and standard practices for operational efficiency and knowledge sharing
Requirements:
- Design and manage scalable cloud infrastructure utilizing Infrastructure as Code principles
- Develop and maintain automated deployment pipelines using CI/CD tools, particularly Azure DevOps
- Provision and manage cloud resources on platforms like GCP and Azure, including networking and security aspects
- Collaborate with teams to support data platforms and AI/ML infrastructure, enhancing performance and reliability
- Implement secure and compliant architecture, optimizing costs and performance
- Document infrastructure solutions and standard practices for operational efficiency and knowledge sharing
- Extensive experience with Infrastructure as Code tools like Terraform
- Proficiency in creating CI/CD pipelines, preferably with Azure DevOps
- Strong expertise in Google Cloud Platform, focusing on compute resources and network management
- Solid foundation in cloud networking and automation, with a knack for Linux and scripting
- Experience in supporting large data workloads and AI/ML applications
- Hands-on experience with Azure infrastructure management
- Exposure to Kubernetes for container orchestration
- Knowledge of data services such as BigQuery and Snowflake
- Familiarity with monitoring and observability tools, like Prometheus and Grafana
- Multi-cloud experience and relevant industry certifications