Lead Hybrid QA Engineer (Manual, Automation)

Ho Chi Minh

Tech/Engineer

Overview

Money Forward Workflow Platform provides shared workflow infrastructure for all MF Cloud products. It unifies fragmented per-product workflow/approval functionality into a common foundation, enabling consistent UX across products and reducing the cost of building workflow features for new products.

We are seeking a highly skilled and experienced Lead Quality Assurance (QA) Engineer to join our fantastic team.

This pivotal role requires a proactive professional with a strong foundation in manual, automation, and AI testing.
The successful candidate will excel at creating and implementing end-to-end test strategies and plans. You will be tasked with upholding superior software quality standards, providing cross-product leadership within the department, and making substantial contributions to the overall excellence of our software offerings.
Key priorities for this role include the validation of AI model performance, testing of AI-integrated features, and maintaining the quality and integrity of the data pipelines and datasets critical to our development lifecycle.

Responsibilities

Quality Ownership & Strategy

This role champions a quality-first mindset, ensuring shared accountability across all teams.

AI Testing Methodologies: Constructing AI agents and delivery pipelines to seamlessly integrate quality checks into the development lifecycle.
End-to-End Quality: Own product quality from initial development through to production across a growing product platform.
Strategy & Standards: Define, refine, and champion quality strategies, test plans, and quality gates for releases and milestones.
Coverage & Review: Review and guide quality across all layers (unit, backend, database, API, UI), ensuring adherence to the Test Pyramid and best practices.
Defect Management: Lead defect triage, root cause analysis, and risk assessment, proposing mitigation strategies pre-deployment.
Process & Alignment: Establish standard processes for all test activities, bug tracking, and release decisions, ensuring alignment with long-term department QA goals.

Test Planning & Execution Strategy

Core Functional Testing: Architect and execute exhaustive testing strategies across pre-release, post-deployment, and live production stages.
AI Validation & Verification: Lead the design of specialized test frameworks for AI/ML-driven features, ensuring model outputs meet high standards for accuracy and reliability.

Conduct rigorous prompt testing and response evaluation to mitigate hallucinations, bias, and unstable reasoning.
Establish benchmarks and quality gates specifically for AI-powered components.

Automation & Stability: Advance automation maturity through modern frameworks while managing resilience and failover testing to guarantee system-wide integrity.
Lifecycle Management: Create and maintain vital test artifacts, oversee regression and integration cycles, and deliver transparent QA reporting for full traceability.
Stakeholder Alignment: Partner closely with product and engineering teams to identify risks early and define clear acceptance criteria for all features.

Collaboration & Leadership (Shift-Left Focus)

The goal is to build quality into every step of the AI SDLC (Shift-left).

Unified Vision: Partner with engineering, product, and DevOps teams to maintain a unified quality vision.
Mentorship: Lead QA engineers and mentor developers on effective test design, automation strategies, and risk-based testing.
Advocacy: Act as a quality advocate, promoting proactive testing, continuous improvement, and shared quality ownership.
Meeting Leadership: Lead quality discussions during key project planning and release meetings.
Production Validation: Collaborate with SRE and DevOps to validate releases under production-like conditions.

Qualifications

Mandatory

Professional Background: Over 6 years of software testing experience, specializing in the design and scaling of complex automation architectures (E2E, API), complemented by deep manual and non-functional testing expertise.
AI & Automation Expertise: Highly proficient in Playwright, Postman, REST Assured, and GraphQL. Skilled at utilizing AI-driven tools like Cursor, Claude, and Playwright MCP to streamline test development and execution.
Leadership Experience: Strong leadership orientation with experience in international collaboration and department-level multi-product oversight.
Technical Proficiency: Expert in scripting languages and complex API validation, with a focus on full integration testing across all layers to maximize coverage.
Quality Accountability: Demonstrated capability to lead product quality via transparent reporting, automation roadmaps, and comprehensive release quality assessments.
Process Knowledge: Extensive experience with Agile methodologies (Scrum/Kanban), CI/CD workflows, Git, and test management platforms like TestRail or Zephyr.
Core Competencies: Superior communication, analytical, and documentation abilities.

Nice-to-Have

AI model evaluation metrics such as accuracy, precision, recall, and response quality.
Exposure to performance or security testing (e.g., JMeter, K6).
Familiarity with cloud-based environments (e.g., AWS).
ISTQB or equivalent software AI-Specific QA certifications.

Our benefits

Caring Mental & Physical Recreation

Hybrid working: 2 days at the office and 3 days WFH
Working hour: Flexible start 8AM-9AM from Mon-Fri
Full salary in probation
Insurance: Applied from Probation period:

Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary)
Private health insurance & accident insurance. From Managing level: extra for family members

Bonus: 13th month salary
16 - 24 paid days off and more
Paternity leave: Extra 5 days
Annual company trip; Quarterly team building
Billiards & Running club
Annual health check
Well-equipped facility: Macbook pro, additional monitor,..

Caring Career & Development

Clear Career path
Foreign language & International technology-related certifications sponsoring
External & internal training courses
Soft-skill workshops
Tech seminars
Monthly and biannual Recognition Awards
Performance & salary review: twice/year (Jun & Dec)

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