System QA Team Leader

Who we are

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you're welcome.) At Redis, you'll work with the fastest, simplest technology in the business—whether you're building it, telling its story, or selling it to our 10,000+ worldwide customers. We're creating a faster world with simpler experiences. You in?

We are seeking a System QA Team Leader to establish and lead a dedicated System QA team within our Quality & Infrastructure Group. In this role, you will build the team, define processes, and develop a system-focused testing approach that simulates real-world customer scenarios. You will be responsible for uncovering complex, hard-to-find issues before they reach production, ensuring the reliability, scalability, and performance of one of the fastest NoSQL distributed systems on the market.

Testing redis distributed system, which handles tens of millions of operations per second with sub-millisecond latency, is a complex and rewarding challenge. You will work closely with engineering, product, and field teams to design tests that mirror customer environments, rigorously evaluate system-level functionality, and improve testing standards across the organization.

If you are passionate about technology and excited to lead a team focused on end-to-end quality for a global customer base, this role offers an exceptional opportunity for growth and impact within an innovative and dynamic company.

Responsibilities
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.

We give back to our employees:

Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our Israel team members fantastic benefits and perks:

Competitive salaries and equity grants
Flexible working options
Frequent team celebrations and recreation events
Lunch stipends
Home internet & phone stipend
Gym membership for a healthy mind and body
Learning and development opportunities
Ability to influence a high-performance company on its way to IPO

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As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees' differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.