Sr QA Engineer 10299 - Networking (Wired/Wireless) | Cloud (AWS/Azure/GCP) | Python

Experience: 4-8 Years

Requirements :

• Hands-on experience in wired networking protocols including VLAN, IP, STP, TCP/UDP, VRRP, OSPF, BGP, MPLS, IS-IS, SPBM

OR

Hands-on experience in Enterprise Wireless LAN testing and validation.

• Solid understanding of network security concepts such as AAA (Authentication, Authorization, Accounting), , VPN, Captive Portal, IPsec, and Firewalls.
• Strong knowledge of network infrastructure services including DHCP, DNS, RADIUS, LDAP, SSH, and Certificate Authorities.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP .
• Strong understanding of cloud-native and distributed systems (microservices, APIs, service communication).
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong knowledge of cloud middleware like RabbitMQ & Kafka.
• Proven expertise in triaging, reproducing, and resolving complex customer or field issues in large-scale or production environments.
• Familiarity with observability tools (metrics, logging, tracing) such as Prometheus, Grafana, ELK, or Loki.
• Strong root cause analysis (RCA) skills across networking, application, OS, and cloud layers.
• Experience in building or using AI & automation tools for debugging, log analysis, and issue resolution.
• Strong programming & debugging skills in Python , Java, or similar languages.

Good to have:

• Familiarity with traffic generation tools such as Ixia or Spirent.
• Knowledge of virtualization technologies such as ESX and Hyper-V.
• Good communication and collaboration skills to work across development, QA, SRE, and support teams.
• Relevant certifications (CCNA, CWNA/CWSP, CompTIA Security+, or cloud certifications)
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.