inDrive

Global ride-hailing platform with fare negotiation

QA Tech Lead - Automation

Engineering LeadershipUpdated on Nov 13

Full-timeNo salary listed

About the Job

Requirements

At least 5 years of experience in Quality Management or as a QA Lead.
Experience managing distributed or international teams.
Strong experience organizing and optimizing regression testing.
Experience building, scaling, and improving QA Operations processes.
Hands-on experience working with quality metrics and driving data-informed improvements.
Experience testing mobile applications on iOS and Android.
Good understanding of test automation across Unit, API, and UI/E2E levels, and shift-left testing principles.
Experience adopting AI tools, AI-assisted testing, or other AI-powered approaches in software development and testing processes.
Ability to identify processes that can be automated or transformed with AI and drive those initiatives through implementation.
Strong stakeholder management skills and experience working closely with Engineering Platform and Product teams.

Responsibilities

Lead the QA Operations team, including team development and performance management.
Own and continuously improve regression testing processes for mobile applications.
Develop product quality processes and continuously improve their efficiency.
Own quality metrics, analyze trends, and identify improvement opportunities.
Develop defect management, triage, and escalation processes for critical issues.
Define and continuously improve testing guidelines, quality standards, and common QA processes.
Drive the adoption of AI-powered approaches and automation across testing and quality processes.
Identify and scale opportunities to use AI to improve QA Operations efficiency and reduce manual effort.
Partner with Engineering Platform and Product teams to improve product quality and strengthen engineering ownership of quality.

We are looking for a QA Tech Lead to join our team.

In this role, you will lead QA Operations, drive the development and improvement of quality processes and standards, optimize regression testing, work with quality metrics, and promote automation and AI-powered approaches across QA.

You will work closely with Engineering Platform and Product teams to strengthen quality ownership and build efficient, scalable QA processes across the organization.

This is a hybrid role, with 2 days per week working from the office in Paphos or Limassol.

Lead the QA Operations team, including team development and performance management
Own and continuously improve regression testing processes for mobile applications
Develop product quality processes and continuously improve their efficiency
Own quality metrics, analyze trends and identify improvement opportunities
Develop defect management, triage and escalation processes for critical issues
Define and continuously improve testing guidelines, quality standards and common QA processes
Drive the adoption of AI-powered approaches and automation across testing and quality processes
Identify and scale opportunities to use AI to improve QA Operations efficiency and reduce manual effort
Partner with Engineering Platform and Product teams to improve product quality and strengthen engineering ownership of quality

5+ years of experience in Quality Management / QA Lead
Experience managing distributed or international teams
Strong experience in organizing and optimizing regression testing
Experience building, scaling and improving QA Operations processes
Hands-on experience working with quality metrics and driving data-informed improvements
Experience testing mobile applications on iOS and Android
Good understanding of test automation across Unit, API and UI/E2E levels and shift-left testing principles
Experience adopting AI tools, AI-assisted testing or other AI-powered approaches in software development and testing processes
Ability to identify processes that can be automated or transformed with AI and drive such initiatives through implementation
Strong stakeholder management skills and experience working closely with Engineering Platform and Product teams

About the Company

inDrive

Global ride-hailing platform with fare negotiation

inDrive operates a global mobility and urban services platform that connects passengers with independent drivers through a fare-negotiation system. Riders propose a trip price, and nearby drivers can accept, decline, or counteroffer, creating a peer-to-peer ride-hailing model. The service has expanded to intercity rides, delivery and cargo, groceries, advertising, and driver-focused fintech within its app. Unlike typical ride-hailing apps that use fixed fares, inDrive enables price negotiation and direct driver-rider interaction, and it pursues growth through a venture arm that funds ride-hailing-adjacent startups in emerging markets. This broader strategy aims to build a super-app for urban and gig-economy needs, with the goal of offering a wide range of mobility and urban services in 48 countries.

Company size: 10,001+
Company stage: Debt Financing
Total funding: $532M
Headquarters: Mountain View, CA
Founded: 2012

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