[BD] Senior Automation Test Lead - AI Global Product

Bosch Group · Ho Chi Minh, , Vietnam

  • Senior
  • Full-time
  • Posted 2026-09-22
  • Confirmed live on 25 September 2026

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Job description

Job Description
🚀 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 a

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