[BD] Senior Automation Test Lead - AI Global Product

🚀 Senior Automation Test Lead / Quality Engineering Lead ( AI Global Product )
AI Global Product | AI-Native Workflow Platform | NCLC + Agentic AI | 500,000 Users Worldwide
🌍 Engineer Quality for the Future of Intelligent Workflows
Our Global Product & Service Team is building a next-generation workflow and approval platform serving nearly 500,000 users and approximately 1,000 internal customers worldwide.
Built on OutSystems Low-Code/No-Code and evolving into an AI-native platform powered by automation, GenAI, and Agentic AI, it supports mission-critical business processes across a global corporation.
This is not a short-term testing assignment. It is a long-term product transformation where quality engineering, intelligent automation, reliability, and customer trust are critical to success.
We are looking for a Senior Test Lead who combines:
Strong hands-on automation expertise
Strategic quality leadership
Team coaching and capability development
Product and customer mindset
Practical application of AI in testing
This is not only about finding defects.
It is about engineering quality into a global AI product from requirements to production.
✨ Why This Opportunity
Few testing roles offer the chance to shape a global enterprise product used by nearly half a million people.
You will influence:
Product quality, reliability, and production stability
Automation coverage and testing efficiency
Release confidence and delivery speed
Customer satisfaction and platform trust
AI-enabled Quality Engineering across global Agile teams
If you want to move beyond traditional QA and help define how an AI-native product is tested, released, and continuously improved, this role is for you.
🎯 Your Mission
Lead and continuously improve the end-to-end Quality Engineering strategy for our global workflow platform.
The role combines approximately:
70% hands-on quality engineering, automation, and test strategy
30% team leadership, coaching, and capability development
You will collaborate with Product Owners, Business Analysts, developers, architects, DevOps, operations, and global stakeholders to make quality a shared product responsibility.
🧠 Key Responsibilities
1. Quality Strategy and Ownership
Own and improve the end-to-end test and Quality Engineering strategy
Establish risk-based testing, quality gates, release criteria, and measurable quality standards
Ensure coverage across functional, API, integration, regression, performance, security, accessibility, and production validation
Drive shift-left and shift-right quality practices
Provide evidence-based release readiness and go/no-go recommendations
Track KPIs including automation coverage, defect leakage, regression duration, test stability, and release confidence
2. Hands-On Automation Engineering
Design, develop, and maintain scalable automation frameworks using Playwright with Python
Build reliable automated tests for web applications, APIs, integrations, workflows, and critical business journeys
Perform manual and exploratory testing where automation is insufficient
Integrate automated tests into CI/CD pipelines
Improve test reusability, reporting, data management, maintainability, and execution speed
Reduce flaky tests and establish automation coding and review standards
3. Requirements and Product Testability
Review requirements, designs, epics, user stories, and acceptance criteria
Challenge ambiguity and identify risks, dependencies, edge cases, and negative scenarios early
Improve testability, traceability, and Definition of Ready with Product Owners and Business Analysts
Promote quality-by-design rather than testing only at the end of delivery
4. Integration and Non-Functional Quality
Strengthen testing for APIs, integrations, business rules, permissions, and approval workflows
Plan and execute performance, load, stress, scalability, resilience, and recovery testing
Collaborate with Architecture, DevOps, Security, and Operations to ensure global platform reliability
5. AI-Driven Quality Engineering
Apply AI across requirement analysis, test design, test data, automation, defect analysis, and regression optimization
Explore Agentic AI for intelligent test generation, execution, monitoring, and continuous learning
Ensure human review, traceability, security, and governance of AI-generated testing assets
Measure AI value through improved coverage, productivity, defect detection, and cycle time
6. Team Leadership and Collaboration
Lead, mentor, and develop up to five QA Engineers
Build a collaborative, accountable, and high-performing Quality Engineering culture
Provide technical direction, coaching, feedback, and fair workload allocation
Develop team capabilities in automation, product knowledge, AI, and Quality Engineering
Partner with Product, Engineering, Architecture, DevOps, UX, Operations, and Support
Lead root-cause analysis and ensure systemic preventive action
7. Quality Monitoring and Reporting
Monitor test execution, defects, automation health, release risks, and production quality
Build clear dashboards and executive-ready reports
Convert quality data into concrete insights, actions, ownership, and recommendations
🌟 What You Will Gain
Lead Quality Engineering for a platform serving nearly 500,000 users worldwide
Shape the automation and AI-enabled testing strategy of a long-term global product
Gain hands-on experience with OutSystems, GenAI, and Agentic AI
Transform a QA team into a modern Quality Engineering capability
Deliver measurable improvements in reliability, efficiency, release speed, and customer trust
Build a significant career achievement in a global AI product transformation
🤝 Who Will Thrive Here
You will succeed if you:
Stay technically hands-on while leading and developing others
Treat quality as a product and engineering responsibility
Prevent defects by challenging risks and unclear requirements early
Use data and evidence to guide release decisions
Apply AI responsibly to solve real testing challenges
Seek long-term ownership and remain accountable through complexity
“I helped build the quality foundation of a global AI-native product and transformed how the team delivers software excellence.”
🧩 Selection Challenge
Shortlisted candidates may prepare a maximum 10-slide, six-month Quality Engineering improvement plan covering:
Current quality risks and priorities
Test strategy and coverage model
Automation framework and CI/CD approach
Integration, performance, and non-functional testing
AI testing use cases and governance
Team capability and coaching plan
Quality KPIs and reporting
Prioritized 30/60/90-day roadmap
Evaluation criteria: technical depth, leadership maturity, prioritization, measurable outcomes, and the ability to balance quality with delivery speed.
📩 Ready to Engineer Quality at Global Scale?
If you are a hands-on Test Lead who wants to build an AI-enabled Quality Engineering capability and influence a product used by nearly half a million people, this is your opportunity.
Join us and build the quality foundation for the future of intelligent workflows
✅ What We Are Looking For
Must Have
7+ years of experience in software testing and Quality Engineering, with a strong automation focus
Experience as a Test Lead, QA Lead, Automation Lead, or Senior Quality Engineer
Strong hands-on expertise in Playwright with Python
Proven experience designing and maintaining scalable automation frameworks
Experience testing enterprise web applications, APIs, integrations, and complex workflows
Strong knowledge of Agile, CI/CD, risk-based testing, and Quality Engineering practices
Ability to review requirements, test cases, automation scripts, and release quality
Experience leading and coaching QA engineers
Strong analytical, problem-solving, English communication, and documentation skills
High ownership, reliability, and product-oriented thinking
ISTQB or equivalent testing certification
Strong Advantages
Playwright with TypeScript
OutSystems or other Low-Code/No-Code platforms
Practical use of GenAI or Agentic AI in testing
Performance, security, accessib

Employment type
Full-time

Work arrangement
No