Required qualifications, capabilities, and skills
- Bachelor’s degree in computer science or related fields
- Minimally 5 years of networking infrastructure engineering or related experience
- Strong packet analysis expertise using a real-time application performance monitoring appliance such as Riverbed ARX, Live Action LiveNX or NetScout Infini Stream NG appliance as well as accompanying deep packet forensic tools such Riverbed Steel Central Transaction Analyzer or Live Action Live Capture.
- Provenexperience (5+ years) in network engineering, consulting, and forensic analysis roles, with a focus on incident response and root cause analysis.
- Experience with one or more large-scale enterprise network topologies including LAN, WAN, Wireless, Network Security. Examples include Routers (Cisco, Juniper, Arista) Switches (Cisco), Wireless (Cisco, Juniper), Transport (Cisco, Ciena). Firewall (Fortinet, Check Point, Cisco), Load Balancers (Cisco, F5), Proxy (Blue Coat), Public Cloud (AWS, Azure).
- Knowledge of CIDR and sub-netting (IPv4 and IPv6); IPv6 transition challenges; and generic solutions for network security features, including AWS WAF, intrusion detection systems (IDS), intrusion prevention systems (IPS), DDoS protection, and economic denial of service/sustainability (EDoS).
- Proficient in network forensic tools and appliances (e.g., Riverbed Steel Center Transaction Analyzer and Riverbed ARX, Wireshark, Splunk, Arista Packet Broker) and familiarity with scripting languages (e.g., Python, Perl) for automated analysis.
- Experience with one or more application performance management technologies (AppDynamics, Dynatrace).
- Strong knowledge of statistical techniques/concepts and experience applying them (regression, properties of distributions, statistical tests, etc).
- Experience with one or more observability, monitoring, and visualization tools (Grafana, Cortex, Splunk, ThousandEyes, DataDog and SevOne)
- Experience with interactive visualizations or dashboard frameworks such as Plotly / Dash is an added advantage. Familiarity with scientific computing Python libraries such as NumPy and data manipulation and analysis libraries such as Pandas.
Preferred qualifications, capabilities, and skills
- CCIE or equivalent certification