Staff Cloud Network Engineer
Dallas, United States · Full-time
- Posted 2w ago
- From Aviatrix Systems’s careers page
- Location
- Dallas, United States
- Type
- Full-time
- Level
- Staff
- Experience
- 8+ years
- Department
- Information Technology
Opens the listing on aviatrix.com
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About the role
ABOUT THE ROLE: Staff Cloud Network Engineer
As a Staff Cloud Network Engineer, you will be a part of Aviatrix's Customer Support team. This position is a critical organization as a part of our customers’ adoption of Aviatrix's enterprise multi-cloud Networking and Security Services Software.
You'll guide our customers for quick and consistent adoption, accelerated integrations with our multi-cloud software products, and real-time support and strategy to ensure our customers are satisfied with Aviatrix's products. This will be a Monday-Friday role, working Pacific Time Zone hours.
KEY RESPONSIBILITIES
- You will be a subject matter expert, serve as a technical escalation point for complex customer issues involving cloud networking, connectivity, security, and performance across multi-cloud environments.
- Work closely with Sales, Solution Engineering, and Product Engineering teams to manage, troubleshoot, and resolve advanced technical issues for Aviatrix enterprise customers.
- Lead the end-to-end resolution of complex customer problems related to deployment, integration, optimization, and upgrades of Aviatrix solutions.
- Provide hands-on, production-level support, including live troubleshooting sessions, packet analysis, and root cause analysis (RCA) for critical customer incidents.
- Act as the first line of defense for high-priority and escalated cases, coordinating with Engineering and Solution Engineering teams to ensure timely resolution.
- Proactively identify, document, and report product defects, and advocate on behalf of customers to drive product quality improvements.
- Collaborate closely with Senior Engineering and Support Leads on customer-reported bugs, reproduction steps, and validation of fixes.
- Develop and maintain knowledge base articles, troubleshooting guides, best practices, and internal runbooks for complex scenarios.
- Provide technical feedback to leadership on recurring issues, customer pain points, and recommended improvements to product and support processes.
QUALIFICATIONS
- 8+ years of experience in customer success, technical support, resident engineer, network engineer, or similar customer-facing technical roles.
- Strong understanding of networking fundamentals, including:
- Routing and switching
- BGP, OSPF
- TCP/IP, DNS, NAT
- IPsec VPN, SSL VPN
- Network troubleshooting and packet flow analysis
- Hands-on experience with cloud networking architectures across:
- Amazon Web Services (AWS) (VPC, TGW, ENI, routing tables, security groups)
- Microsoft Azure (VNETs, VNets peering, Azure Firewall, Load Balancers)
- Google Cloud Platform (GCP) (VPCs, Cloud Router, VPN, Interconnect)
- Strong experience in configuring, testing, and troubleshooting network and security products, such as:
- Cisco ISR / ASA
- Palo Alto, Check Point, Fortinet
- Juniper, Meraki
- Riverbed, Barracuda, SonicWall, Aruba, Sophos
- Solid understanding of virtualization, Linux internals, and infrastructure software.
- Experience with Python, shell scripting, and automation, including log analysis and troubleshooting automation.
- Familiarity with security concepts and products (firewalls, IPS/IDS, segmentation, zero-trust) is a strong plus.
- Ability to analyze logs, metrics, and traces to diagnose complex distributed system issues.
- Strong communication skills to explain complex technical issues clearly to customers and internal stakeholders.
- Ability to multi-task, prioritize, and work effectively in a fast-paced, customer-driven environment.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
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About Aviatrix Systems
Cloud network security for modern workloadsAviatrix provides cloud network security software for enforcing zero trust, detecting threats, and protecting workloads across cloud and AI environments.
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In your inbox every Wednesday and SaturdayPersonalised suggestions from verified career pages, matched to your role, location, level and skills.