Cloud Engineering Advisor
About The Position
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. This person will be comfortable developing infrastructure as code using scripts, templates, blueprints, workflows CI/CD orchestration tools, and other automation technologies in the spirit of speed and consistency. Continuous collaboration will be an important aspect of this role working with a variety of architects and peer engineering teams ensuring deployed services meet the highest levels of scalability, reliability, and performance while balancing security, maintainability, reliability, and operational excellence. 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. Takes end-to-end ownership and responsibility over critical engineering initiatives including deployment, integration, and management of private, public, and/or hybrid cloud platform services supporting the development of complex analytical applications at enterprise scale Champions safe and scalable environment provisioning while protecting accessibility to data assets residing within FedEx Dataworks own network Sets the standards for sizing, building, deploying, managing, and monitoring fault-tolerant, 24/7 application infrastructure Manages the infrastructure as code using scripts, templates, blueprints, workflows, CI/CD orchestration tools, and other automation technologies in the spirit of speed and consistency Continuously collaborates with a variety of architects and peer engineering teams ensuring deployed services meet the highest levels of scalability, reliability, and performance while balancing security, maintainability, reliability, and operational excellence Advises junior engineers, managers, and those in less senior positions Provides mentorship and guidance to junior cloud engineers to support the continued training and up-skilling of the Cloud engineering team
Requirements
- Bachelor’s Degree/equivalent in computer science, engineering, or information systems and/or equivalent formal training or work 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.
- Terraform
- Yaml configurations
- Shell scripting
- Public cloud experience preferably GCP
- GCP or other major cloud platform experience
- Confluent Cloud administration
- Demonstrable understanding of the 7 layers of the OSI Network Mode
- Conversant in system administration skills and tasks that a well-rounded technologist may need to perform
- Experience with one or more programming languages
- 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
- Kubernetes
- 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
Nice To Haves
- A related advanced degree may offset the related experience requirements.
Responsibilities
- 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.
- Takes end-to-end ownership and responsibility over critical engineering initiatives including deployment, integration, and management of private, public, and/or hybrid cloud platform services supporting the development of complex analytical applications at enterprise scale
- Champions safe and scalable environment provisioning while protecting accessibility to data assets residing within FedEx Dataworks own network
- Sets the standards for sizing, building, deploying, managing, and monitoring fault-tolerant, 24/7 application infrastructure
- Manages the infrastructure as code using scripts, templates, blueprints, workflows, CI/CD orchestration tools, and other automation technologies in the spirit of speed and consistency
- Continuously collaborates with a variety of architects and peer engineering teams ensuring deployed services meet the highest levels of scalability, reliability, and performance while balancing security, maintainability, reliability, and operational excellence
- Advises junior engineers, managers, and those in less senior positions
- Provides mentorship and guidance to junior cloud engineers to support the continued training and up-skilling of the Cloud engineering team
Benefits
- Comprehensive benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
