
Cloud Support / Sre | (DMS733)
- Providencia, Santiago
- Permanente
- Tiempo completo
- Cloud Engineer will be part of the GCP Cloud Platform team who is responsible for building Cloud Infrastructure and deploying Cloud Native and 3rd party services for building an Analytics / Data Science platform.
- You will be part of a high performance oriented Cloud Data team, working on cutting edge Big data & Analytics tools and technology on Cloud environments.
- Lead sustainable incident response, postmortems, and production improvements that result in direct business opportunities.
- Provide guidance to other team members on managing availability and performance of services, building automation to prevent problem recurrence, and building automated responses for non-exceptional service conditions.
- Own availability and performance of mission critical services and build automation to prevent problem recurrence. Automate response to all non-exceptional service conditions.
- You will be programming the back-end on Python, Go, Java, Groovy Scripting or similar object-oriented language.
- You will be working actively on Infrastructure as Code, using CloudFormation, Terraform, or other tools, and use CICD Workflow tools such as Jenkins and GitHub. (Terraform preferred)**What experience you need**
- BS degree in a STEM major or equivalent job experience required; Master’s Degree preferred; AI/ML coursework preferred
- 2-5 years of related technical experience
- Certification in cloud or automation preferred
- Experience in one or more cloud environments (GCP preferred)
- Experience using one or more automation languages (Python,PowerShell, Go)
- Experience with programming languages (Java, C#, javascript) preferred
- Solid understanding of networking
- Experience with other technologies (database, Big Data, AI, etc) considered a plus
- Cloud Certification Strongly Preferred**What could set you apart**
- Experience in Groovy, Bash
- Preferred to have knowledge of GCP Native Tools (BigQuery, CloudStorage, Dataflow, Composer, GKE).
- Preferred to have DevOps knowledge using CICD processes and using tools like Jenkins, GitHub., Argo CD
- Good to have knowledge of Dockers and Command Line Interface.
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