QA Manager at Tala (formerly InVenture)

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