Engineer with automation skills The opportunity In Client Technology, we are seeking a Sr. Network engineer with automation skills to join our highly regarded Cloud Connectivity team. We are in search of an experienced, self-driven, adaptable, curious, and innovative individual with a strong drive for success. The adecuado candidate should have passion for developing exceptional products that deliver value to our customers and contribute to make our platform the preferred one among developers.
What is the Cloud Connectivity team?
As part of the Cloud Connectivity team, we actively devise and plan the networking solutions and connectivity footprint for EY Fabric. We focus on developing the most efficient multi-cloud networking solutions to establish secure and reliable connectivity for all business service lines.
Your key responsibilities
Add value by completing backlog items
Support team solutions and products
Implement solutions following best practices and standards
Emphasize automation for improved efficiency
Generate clean documentation and dashboards
Must have
Strong understanding of traditional and cloud Networking solutions (particularly Azure)
Advance knowledge in dynamic routing protocols
Intermediate Firewall administration skills
Experience with DNS in Cloud environments
Code management tools (Git, GitHub, Azure DevOps)
Desired Knowledge
Strong understanding of traditional and cloud Networking solutions (particularly Azure)
Advance knowledge in dynamic routing protocols
Intermediate Firewall administration skills
Experience with DNS in Cloud environments
Intermediate knowledge of remote access solutions (P2S & S2S VPNs)
Advanced expertise in
Code management tools (Git, GitHub, Azure DevOps)
Release management tools (Primarily Azure DevOps)
Proficiency in the following programming/scripting languages (PowerShell, Python, Bash)
Infrastructure-as-Code (Terraform, ARM Templates)
Operate API driven ecosystem
Desired Experience
Experience working in Agile setups is a plus
Experience in implementing , integrating and supporting solutions in large environments