We are looking for a Senior QA Engineer who is passionate about quality, thrives in challenging environments, and has strong analytical and debugging skills to help us deliver outstanding products to our customers.
Key Responsibilities
- Execute QA efforts across Access Points, Controllers, Cloud, On-Prem, and IoT projects, from feature inception to production release, ensuring end-to-end quality coverage.
- Optimize regression test plans for solution-centric execution to maximize efficiency, reduce redundancy, and ensure comprehensive coverage of integrated system use cases.
- Embrace AI-driven testing approaches to modernize QA processes, improve product quality, and enhance efficiency across automation, analytics, and defect prediction.
- Review Feature Requests (FR / PRED), Functional Specs (FS), and High-Level Designs (HLD) for testability and completeness.
- Prepare, review, and own comprehensive test plans, ensuring adequate coverage for functional, scale, regression, and solution testing.
- Develop, maintain, and enhance automation frameworks (preferably in Python) to ensure continuous quality.
- Perform in-depth debugging and root cause analysis for defects across multiple system layers (UI, backend, network protocols).
- Collaborate closely with developers, product managers, and DevOps teams to ensure quality gates are met in CI / CD pipelines.
- Participate in performance and scalability testing to validate system behavior under stress.
- Drive test data preparation, environment setup, and tool creation for effective test execution.
- Mentor junior QA engineers and review their work to ensure quality and consistency.
Required Qualifications
Education : BE / B.Tech / M.E / M.Tech in Computer Science, Electronics & Communication, Information Technology, or Networking.Experience : 3+ years in software quality assurance with hands-on Access Point (AP) device testing and integration in a controller-based environment, including functional, scale, and interoperability validation.Technical Skills :Strong proficiency in Python scripting for automation and data validation.Solid understanding of networking concepts, Wi-Fi protocols, TCP / IP stack, and authentication systems (e.g., RADIUS, AAA).Hands-on experience with QA tools like packet analyzers (e.g., Wireshark), Selenium, PyTest, JMeter, Postman, or equivalent.Practical usage of Jira for defect tracking and TestLink (or similar) for test management.Knowledge of cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).Experience with Elasticsearch, Kibana, and API testing.Proficiency in debugging logs, packet captures, and system traces.Preferred Qualifications
Experience in IoT device testing and integration.Exposure to AI / ML-driven QA approaches.Familiarity with CI / CD pipelines (Jenkins, GitHub Actions, GitLab CI).Knowledge of Linux / Unix systems and shell scripting.Experience working in Agile / Scrum environments.