We are looking for a highly experienced Mobile QE Lead who can drive end-to-end quality engineering outcomes across complex digital ecosystems. The ideal candidate will possess strong technical depth in Mobile and API automation, lead quality strategy across multiple squads, drive shift-left practices, and influence stakeholders to achieve quality, automation, and release objectives.
This role requires a hands-on leader who can seamlessly balance technical excellence, delivery ownership, stakeholder management, and team leadership.
Key Responsibilities
Quality & Test Leadership
Own and drive E2E Quality Engineering strategy across multiple mobile and backend platforms.
Define and implement scalable testing approaches covering functional, integration, API, performance, accessibility, and E2E testing.
Lead quality governance across multiple delivery teams and ensure alignment on quality objectives.
Drive shift-left testing practices including requirements reviews, testability assessments, unit test coverage reviews, and quality risk identification.
Establish and continuously improve quality metrics, coverage, and automation effectiveness.
Design and implement scalable Mobile Test Automation frameworks using Appium.
Drive automation coverage for iOS and Android applications.
Integrate automation frameworks with CI/CD pipelines.
Mentor engineers on automation best practices, test architecture, and framework enhancements.
Define strategies for improving automation reliability and reducing flaky tests.
API Testing & Automation
Build and maintain API automation frameworks using industry-standard tools.
Define contract testing, service virtualization, and API mocking strategies.
Drive API-first testing approaches to enable shift-left quality practices.
Establish quality gates for services and integrations.




Leverage AI tools such as GitHub Copilot, Microsoft Copilot, MCP Servers, and GenAI solutions to improve QE productivity.
Identify opportunities for AI-driven test generation, test maintenance, defect triage, reporting, and quality analytics.
Drive measurable outcomes through AI adoption within the QE practice.
Stakeholder Management & Delivery
Lead E2E testing across multiple squads, vendors, and business stakeholders.
Drive defect triage, risk management, release readiness, and production validation activities.
Influence engineering teams, product teams, architects, and leadership to improve quality outcomes.
Own quality sign-off and provide clear recommendations for release decisions.
Lead, coach, and mentor QE engineers across onshore and offshore teams.
Build a high-performing quality culture focused on automation, engineering excellence, and continuous improvement.
Conduct technical reviews and ensure adherence to QE standards and practices.
Mandatory Skills & Experience
Technical Expertise
10+ years in Quality Engineering with at least 3+ years in a QE Lead role.
Strong hands-on experience in Mobile Automation using Appium.
Strong API Automation experience using Rest Assured, Karate.
Deep understanding of automation architecture, framework design, and CI/CD integration.
Experience implementing shift-left testing practices.
Robust understanding of service virtualization, API mocking,



and contract testing.
Ability to troubleshoot and resolve complex automation challenges including flaky tests.
Experience with cloud-based testing platforms and device farms.
Practical experience leveraging AI tools for Quality Engineering.
Demonstrated examples of measurable productivity improvements through AI adoption.
Understanding of modern engineering practices and quality observability.
Leadership & Delivery
Proven experience leading quality initiatives across multiple agile teams.
Strong stakeholder management and influencing skills.
Experience driving E2E testing in large-scale enterprise environments.
Ability to lead cross-functional discussions and align multiple teams towards common outcomes.
Strong communication and executive stakeholder engagement skills.
Preferred Experience
Experience with large-scale digital transformation programs.
Exposure to microservices architecture and event-driven ecosystems.
Experience working in high-volume customer-facing applications.
Performance and security testing exposure.
What Success Looks Like
Delivers high automation coverage across Mobile and API layers.
Drives measurable reduction in manual testing effort.
Successfully leads E2E quality outcomes across multiple squads.
Improves release confidence and production quality.
Demonstrates technical leadership through automation strategy, AI adoption, and engineering excellence.
Acts as the single accountable QE leader for quality outcomes across the program.
Interview Focus Areas (Mandatory Evaluation Criteria)
API Automation & Shift-Left Testing
Flaky Test Identification & Resolution
AI/Copilot Practical Usage & Outcomes
Stakeholder Influence & Delivery Ownership
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📌 Mobile Qa Lead (Melbourne)
🏢 CareCone Group
📍 Melbourne