interview-Network

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Send your resume to shefali.shah@bt.com

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2. Learn Python and Ansible. 3. Master one SD-WAN platform. 4. Learn Azure or AWS networking. 5. Learn SASE, ZTNA, and Zero Trust. 6. Learn APIs and automation. 7. Use AI tools daily to improve productivity. 8. Build a GitHub portfolio with automation scripts. 9. Learn Linux. 10. Practice real interview scenarios and explain designs clearly. --- Future-proof career roadmap (2026–2030) Skill Area Priority Job Demand 1.AI + Networking 2.Network Automation 3.Cloud Networking 4.Network Security 5.SD-WAN 6.SASE / Zero Trust 7.EVPN VXLAN 8.Kubernetes 9.Linux 10.Traditional Routing & Switching Final message The future belongs to AI-assisted network engineers, not AI alone. Engineers who combine deep networking knowledge with automation, cloud, security, and AI tools will remain in high demand and often move into higher-paying roles such as Network Architect, Cloud Network Engineer, Network Automation Engineer, SASE Engineer, or Principal Infrastructure Engineer. Given your focus on advanced networking topics such as SD-WAN, Cisco Nexus, Aruba, NSX, and interview preparation, adding AI-assisted automation, cloud networking (especially Azure), and modern security concepts to your expertise will make your skills much more resilient over the next several years.

As an experienced Network engineer do you know what and how AI is replacing job ? Do we need to learn AI to replace networking ? Or we need to learn AI in networking to strengthen current requirement. Do you know the biggest risk and focus area in today's date while preparing for interview ? I would say this: > The biggest risk today is not AI replacing network engineers. The biggest risk is network engineers who don't learn AI, automation, cloud, and security. The networking industry is changing faster than ever. Companies no longer want engineers who only configure routers and switches. They want engineers who can design, automate, secure, and troubleshoot hybrid environments. What companies are hiring for in 2026 1. Network Automation (Highest Priority) This is the number one skill. Learn: Python REST APIs Ansible Git/GitHub Jinja2 JSON/YAML Terraform (basic) Companies now expect engineers to automate repetitive tasks instead of configuring hundreds of devices manually. Interview questions now include: How do you automate switch configuration? Have you worked with APIs? Can you explain Infrastructure as Code? --- 2. AI in Networking You don't need to become an AI engineer. Instead learn how to use AI for: Troubleshooting Log analysis Configuration generation Documentation RCA creation Automation scripting Popular AI tools: ChatGPT Claude Gemini GitHub Copilot Companies now expect engineers to work with AI, not compete against it. --- 3. Cloud Networking Many enterprises are moving to cloud. Focus on: Azure Networking AWS Networking Google Cloud Networking Topics: VPC/VNet VPN ExpressRoute Direct Connect Load Balancer DNS Security Groups Transit Gateway --- 4. SD-WAN Still one of the hottest skills. Learn at least one platform deeply: Cisco SD-WAN Versa SD-WAN Palo Alto Prisma SD-WAN Fortinet SD-WAN Understand: Overlay/Underlay Control Plane Data Plane Routing Policies DIA Service Chaining Automation --- 5. Network Security Networking and security are merging. Focus on: Zero Trust SASE SSE ZTNA Firewall IPS/IDS NAC VPN Segmentation Micro-segmentation Popular vendors: Palo Alto Fortinet Cisco Zscaler Netskope --- 6. Data Center Learn: EVPN VXLAN Spine-Leaf Architecture BGP EVPN Cisco Nexus Arista VMware NSX ACI (basic understanding) --- 7. Cloud Security Understand: Identity IAM MFA Security Groups Firewall Policies Cloud Logging Compliance --- 8. Linux Every network engineer should know: SSH grep awk sed systemctl tcpdump curl ping traceroute ip command --- 9. Containers & Kubernetes Networking interviews increasingly include: Docker Kubernetes networking CNI Ingress Service Mesh (Istio basics) --- 10. Observability & Monitoring Learn: Grafana Prometheus ELK Stack Splunk ThousandEyes NetFlow SNMPv3 Streaming Telemetry --- Skills that are becoming less valuable on their own Knowing only these is no longer enough: VLAN STP OSPF EIGRP Basic BGP Static Routing Basic Switching Manual CLI configuration These are still important fundamentals, but companies expect you to build on them with automation, cloud, and security. --- What AI is changing AI can already: Generate configurations Explain protocols Create automation scripts Analyze logs Suggest troubleshooting steps Summarize packet captures Draft documentation AI still struggles with: Complex outage investigations Architecture decisions Customer communication Cross-team coordination Large-scale network design Understanding business requirements These remain valuable human skills. --- Skills AI cannot easily replace Develop: Network architecture Design thinking Troubleshooting under pressure Customer interaction Leadership Mentoring Project planning Security decision-making Automation strategy --- If I had only 3-6 months to prepare I would follow this order: 1. Strengthen networking fundamentals (BGP, OSPF, MPLS, VXLAN, EVPN).

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https://youtube.com/playlist?list=PLckO6h-S3qpI&si=t1pw4WR7pZmaa4tn

* Announcement: Cisco SD-WAN Architecture Training Program | By INTERVIEW-NETWORK* Dear Network Professionals, As enterprises accelerate their transition to software-defined networks, Cisco SD-WAN has emerged as a core technology for modern WAN architecture. To support engineers preparing for this shift, *INTERVIEW-NETWORK* is launching a structured training program on *Cisco SD-WAN Architecture* at a nominal cost. *Program Overview* This program is designed to provide clear conceptual understanding of Cisco SD-WAN architecture and prepare participants for technical interviews and role-based responsibilities. *Key Focus Areas:* 1. *Architecture & Components*: In-depth coverage of vManage, vSmart, vBond, and vEdge, including control plane, data plane, and orchestration. 2. *Design Principles*: Centralized vs Localized Policy, Data Policy vs Control Policy, routing, QoS, and application-aware routing. 3. *Interview Preparation*: Curated set of technical questions and scenario-based discussions aligned with current industry hiring standards for SD-WAN roles. *Who Should Enroll* Network Engineers, CCNA/CCNP professionals, and IT professionals seeking to build expertise in Cisco SD-WAN and transition into SD-WAN, SASE, and cloud networking roles. *Program Details* Delivered through the *INTERVIEW-NETWORK* channel with structured modules, conceptual clarity, and interview-focused guidance. Our objective is to make complex, fast-evolving technology accessible and help you position yourself confidently for opportunities in 2026. 👉 *Enroll Now via INTERVIEW-NETWORK Channel* We are updating the playlist everyweek so you don't miss the current trend...

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