We’re looking for a QA Manager to plan, estimate, and coordinate testing activities for our financial platform that is serving millions of users across the world. You will also work with product managers, developers, and customer service agents to ensure that quality issues and defects are appropriately identified, documented, tracked, and resolved.The role is based in Nairobi office and you will be reporting to the Release Manager. This is a 60% management 40% hands on role.
What you will do:
Day to day management of onsite and offshore QA Engineers (both full time & contractors)
Contribute to the development and growth of QA Engineers ranging from junior to senior levels of experience
Coordination of testing efforts during the sprint cycle: reviewing tickets, test cases, ensuring deadlines are met and resolving and escalating potential issues
Weekly tracking and reporting on quality metrics
Participate in hiring and recruiting efforts
Collaborate with product management and developers to improve testability, automation, and tools
Work with QA Architect, Engineering and Data Science teams to increase test coverage with manual and automated test cases
Define and implement testing and verification strategies for both mobile and server platforms
Own documentation that communicates the procedures and test results
Perform code reviews for automated tests for both mobile and backend components
What you should have:
Experience – 6+ years experience in QA Engineering roles, 4+ years writing test cases/plans
Automation – 3+ years of software development or equivalent test automation experience in both mobile platform and modular RESTful web services
Leader – 3+ years leading QA/Test teams globally, both automation and manual testers
Startup ready – Ability to prioritize and communication in a fast paced startup culture
Load/stress testing – Extensive experience with load/stress testing frameworks to emulate millions of users hitting the system and identify bottlenecks
Preferred Skills & Experience:
BS/MS degree in Computer Science
Experience working in Agile development process
Experience working with Data Science/Machine Learning platforms
Strong Unix/Linux Shell scripting skills
Knowledge with hands-on experience in writing complex SQL queries
Knowledge of Java, Scala, Python, Perl
Knowledge of mobile test automation framework
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