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Senior Automation Test Lead / Quality Engineering Lead ( AI Global Product )

AI Global Product | AI-Native Workflow Platform | NCLC + Agentic AI | 500,000 Users Worldwide

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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.

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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.

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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.

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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

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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

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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.”

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Selection Challenge

Shortlisted candidates may prepare a maximum 10-slide, six-month Quality Engineering improvement plan covering:

1. Current quality risks and priorities
2. Test strategy and coverage model
3. Automation framework and CI/CD approach
4. Integration, performance, and non-functional testing
5. AI testing use cases and governance
6. Team capability and coaching plan
7. Quality KPIs and reporting
8. Prioritized 30/60/90-day roadmap

Evaluation criteria: technical depth, leadership maturity, prioritization, measurable outcomes, and the ability to balance quality with delivery speed.

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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

Qualifications

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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, accessibility, API, and integration testing
• Workflow, approval, or process automation platform experience
• Cloud, observability, production monitoring, and Power BI knowledge
• Experience supporting global enterprise platforms at scale

Additional information

Why Join Us?

• Work on global enterprise platforms used by hundreds of thousands of users worldwide
• Drive modern test automation and quality engineering practices
• Collaborate with global Product, Engineering, and QA teams
• Work in an AI-driven and innovation-focused environment
• Competitive compensation and 13th-month bonus
• Premium healthcare and accident insurance
• Flexible and international working environment

The Bosch Group is a leading global supplier of technology and services. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology.

The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth.

Bosch Global Software Technologies Company Limited (BGSV) is 100% owned subsidiary of Robert Bosch GmbH - one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions.

Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region.

With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.