Qa Sw Engineer 10547- Layer2/Layer3 Protocol Testing

The QA Engineer would be an individual contributor partnering with other Engineering teams, Services and Field Engineers to help build and validate the Products and Solutions for high end customer deployments. The Engineers would write test strategy, test plans and develop tools and scripts to cover the various functional, performance and scalability aspects of Platform and Software solution validation.

 

B.E. / B.Tech. or equivalent in CS/ECE/TCE/EEE or MS in Computer science/application/engineering
2-4 years of relevant industry experience in Telecom/Data Networking and network security

 

•    Excellent knowledge and work experience in most of the following areas:
•    Good understanding of Operating system concepts and network applications and network operating system.
•    Familiarity with Traffic Generators (Ixia/Spirent) and Network debugging tools (Wireshark, ping, traceroute etc.)
•    Good knowledge of Cloud based application validation and micro services-based architecture.
•    Should have hands-on experience on Test planning, computer networking topology planning, requirement-to-testcase mapping, Test case writing, Defect logging and tracking, with excellent debugging skills.
•    Good knowledge of testing methodologies, knowledge of different testing types and overall product life cycle.
•    Good Analytical and Communication Skills
•    IEEE 802.1 (Bridging, VLAN, STP, MAC security, LLDP)
•    L2/L3 Features (TCP/IP, VRRP, IGMP, IPv4, IPv6, ICMP, ICMPv6, ARP), Basic understanding of IS-IS.
•    Network Management and Monitoring (SNMP, SFLOW, Netflow, RMON, ERSPAN)
•    DHCP, DNS, SSH, RADIUS, TACACS, LDAP, IPSec, CA.
•    Network Security and Management features - Netlogin, AAA, IP sec, Firewalls, SSL, SNMP MIB.
•    Unix/Linux and Windows environments.

Added Advantages:

•    ISTQB, Cloud Practitioner, Network+, CWNA and CCNA certification will have added advantage.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.