Cloud Connectivity Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Connectivity Engineer based in the United States.

As a Cloud Connectivity Engineer, you will design, implement, and optimize secure, scalable networking solutions that power modern cloud environments. In this role, you'll work across leading cloud platforms to build resilient connectivity architectures, automate infrastructure, and ensure reliable communication between cloud and on-premises systems. Collaborating closely with engineering and security teams, you will help deliver high-performing enterprise networking solutions that support business-critical applications. This position offers the opportunity to work with cutting-edge cloud technologies in a fully remote environment while contributing to infrastructure modernization and operational excellence.

Accountabilities:

• Design, deploy, and maintain secure cloud networking architectures across AWS, Azure, and/or Google Cloud Platform environments.
• Build and manage networking components including VPCs/VNets, routing, DNS, transit gateways, hybrid connectivity, and edge networking solutions.
• Automate cloud network provisioning and management using Terraform and Infrastructure as Code (IaC) best practices.
• Implement and support Kubernetes networking, cloud connectivity, and network security controls for containerized applications.
• Monitor, troubleshoot, and optimize cloud network performance, availability, scalability, and infrastructure costs.
• Collaborate with security, DevOps, and engineering teams to design reliable, secure, and resilient networking solutions.
• Contribute to network architecture improvements, documentation, and automation initiatives that enhance operational efficiency.

Requirements

• 6+ years of experience in networking, including significant hands-on experience with cloud networking technologies.
• Strong expertise in AWS, Azure, or Google Cloud Platform networking services and architectures.
• Experience with Terraform and Infrastructure as Code for cloud infrastructure automation.
• Solid knowledge of hybrid cloud connectivity, Kubernetes networking, routing, switching, BGP, DNS, and cloud security principles.
• Strong troubleshooting, analytical, and problem-solving skills in complex networking environments.
• Experience collaborating across cross-functional technical teams in enterprise cloud environments.
• AWS Advanced Networking Specialty, Azure Network Engineer, or similar cloud networking certifications are preferred.
• Experience with multi-cloud networking, SD-WAN, SASE, or eBPF networking technologies is considered a plus.

Benefits

• Competitive annual salary ranging from $100,000 to $150,000 .
• 100% remote position within the United States.
• Full-time direct W-2 employment.
• Opportunity to work on enterprise-scale cloud infrastructure and networking projects.
• Exposure to modern cloud, Kubernetes, automation, and Infrastructure as Code technologies.
• Career growth opportunities within a collaborative and innovative technology environment.
• Opportunity to work alongside experienced cloud, security, and engineering professionals.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.