Sr. Network Support Engineer

Sr. Network Support Engineer

Key responsibilities include identifying and troubleshooting advanced L4–L7 traffic issues involving SSL, HTTP, and other application layer protocols. Analyze and optimize performance degradations caused by TCP retransmissions, session anomalies, and application layer conflicts such as HTTP errors, redirect loops, timeouts, etc. Work with customer network, application, and DevOps teams to resolve integration issues, performance bottlenecks, and configuration challenges across diverse environments. Troubleshoot ACOS issues across hybrid and multi cloud deployments like AWS, Azure, OCI, and GCP. Troubleshoot application layer security issues related to WAF, SSLi and perform traffic analysis to detect and block DDoS attacks. Collaborate with authorized professional services partners to troubleshoot and resolve implementation and deployment challenges caused by design gaps, software bugs or misconfigurations. Collaborate with security teams to investigate application layer security incidents leveraging SIEMs and identity methods to analyze attacks and recommend detection and mitigation measures. Use tools like tcpdump and wireshark to conduct packet level analysis to debug complex issues. Use traffic generation tools such as Ixia, Spirent or Apache JMeter for simulating network and application traffic during testing and troubleshooting scenarios. Reproduce complex customer environments in labs to simulate behavior, validate theories, and confirm software bugs. Develop and maintain knowledge base articles, FAQs and troubleshooting playbooks to capture best practices and streamline issue resolution. Provide mentorship and training to internal teams on debugging tools, packet analysis, and troubleshooting methodologies.

Qualifications include a bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Four or more years of hands-on experience in network engineering or technical support roles focused on application delivery or network security. Advanced networking certifications preferred (e.g., CCNP, JNCIE, JNCIP). Strong foundational knowledge of networking concepts including routing (BGP, OSPF), switching (VLANs), TCP/IP and security technologies such as firewalls, VPN, and WAF. Strong troubleshooting and diagnostic skills using tcpdump, wireshark, and CLI tools. Familiarity with application protocols and web technologies like DNS, HTTP, SSL/TLS, SMTP, RTSP, SIP, Diameter, as well as SNI, HTTP headers, cookies, CDN and load balancing (e.g., VRRP). Hands-on or strategic exposure to incorporating AI into daily operations or solving complex challenges through the use of AI tools, workflow automation or data-driven insights. Experience with cloud environments (AWS, Azure, OCI, GCP) and virtualization platforms (VMware, Hyper-V, KVM). Familiarity with WAF, SSLi, DDoS mitigation, and SIEM tools. Understanding of Unix/Linux environments and experience using shell for diagnostics or scripting. Working knowledge of REST APIs, JSON, and security protocols like OAuth or SAML. Experience with containerized environments (Docker/Kubernetes) is a plus.

Targeted compensation guideline: $100,000 - $145,000. Compensation will vary based on number of factors, including market demand for specific skills, role type, job level, and individual qualifications. Final salary offers are determined by considerations including, but not limited to, subject matter expertise, demonstrated skill level, relevant experience, geographic location, education, certifications, and training.