Mohammed Janibasha

Led Web, API and AI security and solutions testing for F5 BIG-IP, NGINX, and F5 Distributed Cloud, validating protection against OWASP Top 10 and advanced web threats.
Designed and recreated real-world customer architectures across AWS, Azure, and OpenStack.
Automated end-to-end deployments using Terraform, GitHub Actions, Ansible, and Python, reducing manual setup effort significantly.
Built demo and cyber-range environments using FastAPI, Docker, Kubernetes, and MariaDB for hackathons and marketing use cases.
Developed a custom PyTest automation framework from scratch for feature validation and heatmap efficacy testing.
Executed performance and traffic simulations using Locust, JMeter, and Postman.
Authored and published multiple F5 DevCentral technical articles on Rate Limiting, Multi-Cloud Networking (MCN), WAF, Bot Defense, API Security, and OWASP vulnerabilities.
Created test plans, test cases, and regression suites, managing execution and reporting via TestRail.
Collaborated with Product SMEs, Marketing, and Sales to deliver demos for AppWorld, F5 Connect, and customer briefings.
Mentored 4 junior QA engineers, conducting code reviews, debugging sessions, and automation best-practice training.
Actively participated in Agile ceremonies (Sprint Planning, Daily Stand-ups, Reviews, Retrospectives).

Performed security and compliance testing for Kubernetes, VMware, and AWS environments.
Designed and executed UI and API test cases, managing test cycles using Spira.
Automated API test scenarios using Python and PyTest, improving test coverage and execution speed.
Handled defect logging, triaging, verification, and root-cause analysis.
Prepared weekly QA metrics and reports, coordinating closely with cross-functional teams.

Automated OpenStack Swift testing using Python and AWS S3 (boto).
Installed and configured Linux/CentOS VMs and executed sanity and regression testing on storage platforms.
Configured and tested SAN environments (HP MSA, DotHill Storage Enclosures).
Performed L2/L3 root cause analysis for critical storage outages and data loss incidents.
Supported enterprise customers with high-availability and performance issues