Job Description
Responsibilities Include, But Not Limited
- Work with staff to analyze, optimize and manage cloud computing environments, including GCP, AWS and Azure
- Work with research staff to streamline scientific computing workflows within cloud environments
- Work with the IS team to optimize cloud security utilizing least privilege access principle
- Manage and optimize cloud billing and resource usage
- Develop and manage scalable architecture to support applications and infrastructure as a service (IAAS)
- Identify cloud technology gaps/risks and establish mitigation strategies.
- Write guides and provide training on cloud platform usage, cloud management tools and best practices
- Remain up to date with cutting-edge cloud technologies, methods and proactively work to implement them
Must Have The Following Knowledge, Skills And Abilities
- Administration experience with Google Cloud Platform or other major IaaS provider is required
- Strong track record of implementing cloud-based processing techniques
- A passion for coding and data science including knowledge of at least one programming language (Python, R, and C++ are preferred)
- Experience handling large volumes of spatiotemporal data
- Proven deep technical background including cloudbased CPU and GPU optimization
- Ability to work in a demanding environment with minimal supervision
- Familiarity with database usage and basic administration tasks (SQL preferred)
- Proven track record in architecting and managing High-Performance Computing (HPC) environments, leveraging Terraform for Infrastructure-as-Code (IaC) and optimizing large-scale data workflows within BigQuery
- Ability to design informative and accessible technical training materials
Qualifications
- 2+ years of hands on professional experience
- A Bachelor’s degree in computer science, information technology or other quantitative fields.
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