Note: The job is a remote job and is open to candidates in USA. Federal Express Corporation is seeking a Cloud Engineering Advisor who will be responsible for the deployment, integration, and management of cloud platform services. The role involves developing infrastructure as code, collaborating with engineering teams, and ensuring the scalability and reliability of cloud services.
Responsibilities
- 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
Skills
- Bachelor's Degree/equivalent in computer science, engineering, or information systems and/or equivalent formal training 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
- Strong leader / mentorship
- Strong oral and written communication skills
- Must have: Terraform, Yaml configurations, Shell scripting, public cloud experience preferably GCP
- 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
- GCP or other major cloud platform experience
- Confluent Cloud administration
- Demonstrable understanding of the 7 layers of the OSI Network Model
- 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
- Must have: 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
Company Overview