Software QA Engineer- Networking & Security Protocols, AI

Job Summary


Responsibilities

• Architecture & Operations: Lead the design, deploy, and optimize enterprise Next-Generation Firewalls (NGFW) and cloud-native security services.
• Complex Troubleshooting: Provide escalation support, isolate network faults, and perform deep packet analysis and root cause analysis (RCA) during test executions.
• AI, Automation & Scripting: Drive Agentic security autonomous flow and build framework using the latest AI technologies leveraging Python, REST APIs, or configuration automation tools.
• Collaboration: Partner with various engineering teams to file critical software bugs and scope future product feature requests.

Minimum Qualifications

AI Knowledge

• Hands-on experience with LLMs (GPT, Claude) for test automation
• Familiarity with Python-based AI libraries and REST API integrations
• Knowledge on Docker/Containers

Networking & Security Protocols:

• Deep mastery and hands-on experiences of TCP/IP, BGP, OSPF, IPSec, SSL-VPN, NAT, and DNS/DHCP.

Cloud & Virtualization:

• Practical knowledge of public cloud environments (AWS, Azure, GCP) and containerization/hypervisors (Docker, Kubernetes, VMware ESXi).

Host based Tools and Traffic Generators:

• Working experience and well-versed with Host (Linux/Windows) Tools and Traffic Generators to replicate client production environments, stress-test firewall capabilities, validate Firewall functionalities and find network anomalies.

Certifications:

• Industry credentials such as the CCNP/CCIE are strongly preferred with practical knowledge

Preferred Qualifications

Advanced Debugging & RCA:

• Strong ability to troubleshoot complex application, OS, networking, and platform issues and drive them to root cause.

AI/Agentic Engineering:

• Hands-on experience building AI/LLM-based workflows for test generation, failure triage, debugging, log analysis, and engineering productivity.

Technical Leadership:

• Ability to independently lead complex technical initiatives, drive design reviews, and influence cross-functional teams.

Customer & Production Mindset:

• Ability to translate customer and field issues into product-quality improvements and proactively identify production risks.

Communication:

• Strong communication skills to clearly articulate technical risks, trade-offs, quality metrics, and recommendations to engineering stakeholders.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.