Cloud Engineering Advisor

Job Summary

As a Cloud Engineer, you will be responsible for the deployment, integration, and management of private, public, and/or hybrid cloud platform services supporting the development of complex analytical applications at enterprise scale. In this role the candidate will be demonstrating their networking and security protocol knowledge to ensure safe and scalable environment provisioning while protecting accessibility to data assets residing within.

Job Description

• Develop infrastructure as code using scripts, templates, blueprints, workflows, CI/CD orchestration tools, and other automation technologies in the spirit of speed and consistency.
• Design, integrate and monitor cloud computing system(s).
• Manage deployment(s), all integration(s) and troubleshoot platform services.
• Collaborate with engineers, architects building systems to meet all needs.

Additional Job Description

• Minimum Education: Bachelor’s Degree/equivalent in computer science, engineering, or information systems and/or equivalent formal training experience.
• Minimum Experience: Five to seven (5-7) years’ experience in cloud engineering or related field.
• Experience providing leadership in a general planning or consulting setting.
• Experience as a leader or a senior member of multi-function project teams.
• A related advanced degree may offset the related experience requirements.

Knowledge, Skills and Abilities

• Strong leader / mentorship.
• Strong oral and written communication skills.
• Terraform, Yaml configurations, Shell scripting, public cloud experience preferably GCP.

Preferred Qualifications

• Confluent Cloud administration.
• Demonstrable understanding of the 7 layers of the OSI Network Mode.
• Automation and scripting in Powershell and Bash.
• DevOps and CICD pipelines – github actions.
• Excellent interpersonal skills and the ability to present and communicate effectively.
• Kubernetes experience either with GKE/AKS or managing your own Kubernetes cluster.
• Terraform, Yaml configurations, Shell scripting.
• Experience in alert management and root cause analysis.
• Experience with monitoring stack (Dynatrace, Prometheus, Grafana).
• Experience in completing difficult projects, e.g. programming project, system admin, large deployment or migration projects.
• Experience with Java or Python.
• Experience with data analytical infrastructure - Dataflow, GCS, BigQuery.
• Experience with AI – GCP AI Foundation, Vertex AI.