Multi-Cloud Network Engineer (533500) POST NUMBER: 476042 [Remote]

Multi-Cloud Network Engineer
DETAILS
Location : Remote
Position Type : 6M Contract (with likely extensions)
Hourly / Salary : to $130W2 (based on experience level)

JOB SUMMARY
Vaco is currently seeking a Multi-Cloud Network Engineer for a 6M Contract (with likely extensions) that is remote based.  The Multi-Cloud Network Engineering must possess expertise in design, automation, deployment, and integrating native and third-party networking and network security resources across AWS, Azure, and GCP.  The Multi-Cloud Network Engineer will focus on optimizing OnPrem networks to ensure they are resilient and manageable for cloud service adoption.  The Multi-Cloud Network Engineer must possess strong hands-on experience in architecture, engineering, automation, and deployment of networking solutions across multi-cloud environments, combined with a solid background in traditional networking technologies.  The Multi-Cloud Network Engineer must be able to lead technical discussions with clients, guiding them toward optimal solutions, and clearly understanding the technical implications of business requirements.

• Cloud Architecture / Automation Leadership – Leading Design / Deployment / Automation Efforts Across Public Cloud Platforms
• Incident / Problem Management – Serving as Technical Escalation Point / Driving Incidents through Resolution using Manufacturer Guidance / Cross-Team Collaboration
• Stakeholder Communication – Maintaining Clear / Detailed / Continuous Communication with Client Stakeholders / Project Managers Across the Project Lifecycle
• Client Workshops / SME Engagement – SME in Cross-Functional Client Workshops / Technical Engagements
• Technical Documentation / Design – Developing Client Deliverables | Assessment Reports / Design Documentation / Precise Low-Level Architecture Diagrams
• Mentorship / Team Development – Supporting / Mentoring Less Experienced Team Members via Training / On-the-Job Guidance
• Technical Lead – Leading Small-to-Medium-Scale Networking Projects in Enterprise Environments
• Customer Focus / Results Orientation – Delivering Customer-Focused Solutions with Strong Emphasis on Outcomes / Results
• Communication / Problem Solving – Applying Strong Professional Communication / Analytical Thinking / Problem-Solving Skills
• Team Collaboration / Mentorship – Working Effectively in Team / Partner Environments | Mentoring and Training Junior Team Members

JOB REQUIREMENTS

• Multi-Cloud Networking Engineer – AWS / Azure / GCP
• IaC / Terraform – Utilizing Terraform to Provision / Manage Resources Across Public Cloud Platforms
• Network Security / Architecture (advanced knowledge) – Network Security / Data Center Networking / SDN (Software Defined Networking) | Cloud Native Security Controls/Firewalls / IPS/IDS / Security Groups / Network ACLs / DDoS Protection / Private Connectivity Services | Micro-Segmentation / Zero-Trust Network Architecture / Hybrid Connectivity Models / Secure/Resilient Integration Between OnPrem Environments/Multi-Cloud Platforms
• Cloud-Native Networking Services – AWS (Transit Gateway / VPC Peering / Route53, etc.) | Azure (vWAN / ExpressRoute / App Gateway / Azure Firewall, etc.) | GCP (Cloud Interconnect / Cloud Router / Cloud Load Balancing / Shared VPC, etc.)
• Hybrid / OnPrem Integrations – Optimizing OnPrem Networks for Cloud Adoption | Site-to-Site VPNs / Private Interconnects / BGP Routing / Hybrid Network Architectures (Resiliency / Low-Latency Connectivity)
• Automation / Scripting – Python / BASH / PowerShell | Automating Network Deployments / Configuration Management / Operational Tasks
• Load Balancing – Design / Implement Global / Regional Load Balancers / Auto-Scaling / Traffic Routing for High-Availability / Performance
• Monitoring / Logging / Troubleshooting – Monitoring / Diagnostics utilizing VPC Flow Logs / Azure Network Watcher / GCP Network Intelligence Center / CloudWatch / 3 rd Party Observability Solutions | Technical Escalation Point for Complex Network Issues
• IaC / Configuration Management Tools – AWS CloudFormation / Azure Bicep/ARM / GCP Deployment Manager | GIT (for reproducible network infrastructure)
• Containerization / Kubernetes Networking (familiarity) – Container Networking / Service Meshes (Istio) / CNI Plugins / Integrating Kubernetes with Cloud Networking Resources
• Traditional Networking Fundamentals (strong background) – TCP/IP / Routing Protocols (OSPF / BGP) / Subnetting / VLANs / QoS / Legacy Data Center Technologies / Bridge OnPrem/Cloud Environments

PREFERRED (not required)

• Certifications : CCIE / AWS Networking Specialty

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.