Principal Software QA Engineer
- Lead the test automation strategy; evaluate and integrate new tools to improve efficiency and coverage
- Collaborate closely with product, development, support, and platform engineering teams to ensure full lifecycle quality coverage
- Provide technical leadership and mentorship to QA engineers and partners across teams
- Contribute to design reviews with a QA lens to ensure testability and risk mitigation
- 16+ years of hands-on Networking and QA experience, including: Designing and building test automation frameworks from scratch
- Non-functional testing (scale, reliability, performance, security)
- Strong coding skills in Python; experience with Pytest
- Deep understanding of:
- Microservices, Containers (Docker, Kubernetes)
- Linux/VM environments, Storage, Compute, Networking
- REST APIs, JSON, SQL/NoSQL
- Experience with virtualization technologies like KVM or VMware
- Familiarity with performance and load testing tools
- Exposure to cloud-native testing challenges in private cloud environments
- Strong analytical and troubleshooting skills
- Excellent verbal and written communication
- Proven experience mentoring junior team members and driving cross-functional collaboration
- Knowledge of complete SDLC and experience in software testing methodology, tools, developing test strategy, test planning and test execution.
- Strong automation background to be able to own automation strategy and tools required to build a test framework.
- Strong troubleshooting and analytical skills.
- Self-motivated with excellent verbal and written communication skills.
- Ideal candidates will have at least 13+ years of relevant experience in developing and supporting automation test frameworks from ground up.
- Proficiency in programming in Python & Golang.
- Experience in the following areas/technologies:
- IPv4, IPv6, MPLS, LDP, BGP, OSPF, ISIS, LLDP, STP, ACL, QoS, Policer, Multicast, Security; SRX-4600 and JunSOS Space
- Test Automation using Pytest Python,
- Spirent and IXIA Test/Traffic generator equipment
- Detailing of Network Designs and Implementation
- JNCIE preferred
- Docker, , Containerization, Kubernetes
- CI/CD, Git/Gitlab, Jenkins
- LINUX/VM environments
- Networking background
- KVM
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