
Senior QA Automation Engineer - Networking L2/L3
- Milpitas, CA
- Permanent
- Full-time
- Crafting, automating, configuring, and qualifying customer use cases based on IOS XR platforms. This includes generating test plans and dynamically prioritizing tasks based on customer demands, maximizing the right technical expertise and skills in each area.
- Designing and developing innovative test frameworks and tools to support the test execution environment, as well as develop web-based GUIs that use analytics and machine learning to thoughtfully display and analyze execution results.
- Driving test cases both manually and through automation, raising, tracking, prioritizing, and verifying defects and fixes.
- Proactively seek continuous improvements in test coverage, execution, and automation, optimizing performance and configuration dimensioning.
- Reproduce customer issues in internal test labs as requested by the customer support team, generate test execution.
- Collaborating with the development team, account team, and customers to understand and validate customer use cases.
- Bachelors in STEM with 7+ years of relevant experience or Masters in STEM with 5+ years of relevant experience
- 3+ years of programming experience with Python, Go, Java, C or C++
- Networking domain experience working with L2 or L3 networking protocols such as ISIS, BGP, MPLS, IPv6, GRE, MPLS-TE, LDP, RSVP,LDP, Segment routing, L2VPN,L3VPN,EVPN.
- Experience in networking automation or software quality assurance
- Hands on experience with GIT, Jira, Jenkins and CI/CD pipeline tools
- Industry certification such as CCIE/CCNP/Cisco DevNet will be a plus.
- Experience with network automation frameworks like pyATS, Pytest Ansible & Robot
- Experience with network monitoring tools like Grafana, telegraf, Elasticsearch and InfluxDB
- Experience in working with traffic generators like Ixia and Spirent.
- Experience in network programmability - gNMI, gRPC, NETCONF,YANG, REST APIs, RPC
- Strong Linux experience, with preferred knowledge of virtualization and containerization technologies - KVM, VMware, Docker, and Kubernetes
- Strong troubleshooting and problem-solving skills.
- Experience with AI and machine learning is a plus
- Understanding and hands on Cisco IOS/IOS-XR platforms