Team Leadership : Build, mentor, and manage a high-performing System QA team. Foster a collaborative, quality-focused culture within the team.
System-Level Testing Strategy : Design and execute testing strategies that focus on system and solution-level scenarios, simulating real-world customer use cases and complex environments to identify the hard-to-find issues before they reach production.
Technical Leadership : Be hands-on in testing, reproductions and implementing automated tests in Python. Guide the team in technical areas, enforcing best practices through code reviews and mentorship.
Test Process Development : Develop and implement testing processes, including end-to-end and cross-team feature testing, that ensure high standards for system reliability and scalability.
Cross-functional Collaboration: Work closely with engineering, product, and field teams to ensure testing priorities align with customer and product needs. Facilitate shared knowledge and collaboration across teams.
Automation and Test Coverage: Drive automation efforts for system-level tests, increasing coverage and consistency. Focus on reducing manual testing and improving test efficiency.
Continuous Improvement: Regularly evaluate and refine QA processes, tools, and techniques to adapt to evolving challenges and raise the bar for quality.
Redis Expertise : Gain deep knowledge of Redis as a complex, clustered system, analyzing failures and ensuring test quality at all stages.
Requirements
Leadership Experience: 2+ years of experience building and leading QA teams, with a focus on system-level and solution-level testing.
Hands-on System Testing Expertise: 5+ years of experience in testing complex, distributed systems or cloud-based products, with strong skills in system-level testing, stress/load testing, and customer scenario simulation.
Analytical, Troubleshooting, and Problem-Solving Skills: Strong analytical skills to understand system behavior, identify issues, and resolve complex problems effectively.
Ability to interpret logs, system metrics, and network traffic for accurate diagnostics
Programming Skills: Proficiency in Python or another scripting language, with a solid understanding of automation frameworks and practices.
Cross-functional Communication: Excellent communication skills and experience working closely with development, product, and field teams to align testing with customer needs.
Technical Expertise: Strong understanding of cloud computing, distributed systems, and Linux-based environments. Experience with test automation, CI/CD pipelines, and modern testing practices.
Advantages
Experience with NoSQL databases and database testing.
Familiarity with cloud computing technologies like AWS, Azure, or VMware.
Experience with containerization and orchestration technologies like Docker or Kubernetes.
Background in developing automation for high-scale, high-availability systems .