SR QA SW ENGINEER 10216- Layer2/Layer3 Protocol Testing- Python Automation

Job Description

The Candidate must be able to work closely with software design / development engineers and other SQA engineers to ensure the product quality and optimize customer solutions. It is important for the candidate to be able to understand feature requirements and translate to test cases and test automation. This position requires sound critical thinking, troubleshooting, test planning and test execution.

Educational Qualification and Experience : B.E / B. Tech, MCA, M.E / M. Tech in CSE/EEE/ECE with at least 5-7 years of relevant experience

Required Skills And Qualifications

• Strong Troubleshooting skills and working knowledge into L2 /L2 Protocols and Data Plane Forwarding
• Working Knowledge of Multi-chassis Link Aggregation (MLAG / MCT) Technologies
• Working Knowledge of Layer-3 Protocols - IPv4/IPv6, OSPFv2/v3, IS-IS, BGP4, IGMP, PIM-SM/SSM
• Working Knowledge of L2 protocols- (STP/MSTP/RSTP, 802.1q/ad/aq, 802.3ah, 802.1ag/Y.1731 (Ethernet OAM/CFM))
• Experience in working with test tools like Ixia, STC and packet sniffers
• Experience in scripting languages like Python, Perl, Tcl and Tk
• Experience with Defect tracking tools and test case management tools like Quality Centre
• Experience in version control systems like CVS, GitHub and test automation IDE Framework
• Experience in tools development to optimize functional and system qualifications
• Excellent oral and written communication and interpersonal skills
  
  

Preferred Qualifications

• Network technology, TCP&IP stack/L2 Switching/L3 Routing etc
• Open API/ OpenConfig NETCONF/Streaming Telemetry/GNMI/GRPC
• Expert in Data centre Networking Protocols and technologies
• Expert programming knowledge in scripting language
• A quick learner with excellent communication skills
• Tenacious approach towards problem solving
• Eager to learn, adopt the latest technologies and best practices
• Exceptional Written/Verbal Communication Skills
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.