QA Lead

ABOUT CLIENT

Our client is a leading technology company that specializes in creating innovative and user-friendly products

JOB DESCRIPTION

Proven experience leading and mentoring a QA team of 10+ engineers, fostering technical growth and collaboration.
Actively contributed to scaling the team by interviewing, hiring, onboarding, and delegating responsibilities to optimize team performance.
Designed and maintained detailed test plans across features, projects, and release cycles to ensure consistent quality standards.
Established a strong team structure with clear ownership, accountability, and alignment to delivery goals.
Conducted regular one-on-one meetings and performance reviews to support career development and maintain team motivation.
Delivered transparent reporting on bugs, test results, and overall quality status to cross-functional teams.
Led test evaluations and produced quality reports for each release, including clear GO/NO GO recommendations.
Provided developers with targeted test checklists and test cases to enable effective self-testing prior to QC handoff.
Demonstrated a hands-on, proactive mindset with a strong commitment to achieving goals and resolving challenges.
Maintained a bias for action, driving momentum and ensuring timely delivery in fast-paced environments.

JOB REQUIREMENT

Over 3 years of experience in leading QA teams, which includes providing guidance to team members, delegating tasks, evaluating test outcomes, and promoting ongoing improvement within a team of over 10 QA engineers
More than 8 years of practical experience in manual and automated testing for Mobile, Web, and API/Backend systems
Practical experience in creating and conducting Test automation using Appium, Playwright, and WebdriverIO
Proficient in testing processes, methodologies, and techniques
Skilled in analyzing and dissecting functional and nonfunctional requirements
Proficient in using bug tracking system and test management tool
Self-motivated with a positive approach, willing to put in the effort to achieve product delivery goals
Capable of influencing change without formal authority in large organizations
Open to learning and being coached to improve performance

WHAT'S ON OFFER

Support for Relocation - Assistance with both financial and practical aspects of the move
Global Contract - Offers a competitive salary
Health Benefits - Private healthcare from the start
Top-notch Technology - Includes a new MacBook and full onboarding kit
Career Advancement - A clear, personalized, and rapid progression framework
Performance Bonuses - Quarterly payments tied to individual performance
Time Off - 14 days of paid time off in addition to public holidays
Flexible Working - Option for three days in the office per week
Amenities - Free daily lunch and dinner.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Manual Test, Automation Test

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01888

Status:

Close

Related Job:

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam


Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation

View details

Platform Lead

Others - Singapore


Product

  • Backend
  • Devops
  • Data Engineering

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

Negotiation

View details

Lead/Principal Java Software Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Java

Provide leadership for the design, development, and deployment of technical solutions. Collaborate with other technology leaders to enhance and support the client's technical direction. Advocate and promote best practices for Java/JavaScript - Node.js & React.js. Display enthusiasm for Java and ability to implement advancements for new and existing systems. Lead and facilitate training to enhance engineers' programming skills. Design, develop, review, and manage Java application code and services for production and pre-release environments. Develop, review, and manage continuous integration, build management, deployment scripts, and required code. Engage in Agile software development, prototyping, and code review with international development teams to build scalable microservices-based products and APIs using Java technologies on AWS or Azure cloud architecture. Understand customer or business requirements and incorporate this knowledge into consistent application development. Collaborate with delivery teams to drive development using CI/CD and DevOps practices, processes, and tooling. Adhere to robust coding practices, solid unit/component test coverage, and code debugging.

Negotiation

View details