Senior QA (M3)
JOB DESCRIPTION
JOB REQUIREMENT
CONTACT
Job Summary
Company Type:
Outsource
Technical Skills:
Manual Test, Automation Test
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01449
Status:
Close
Related Job:
Manual QA Tester
Ho Chi Minh - Viet Nam
Product
- Manual Test
Create, document and implement comprehensive manual test cases for web and mobile (iOS/Android) user processes. Ensure new features align with functional requirements, UI/UX specifications and cover edge cases. Record defects with detailed reproduction steps, screenshots/video capture and assess severity. Validate bug fixes, regressions and rollback scenarios across different environments (dev, QA, staging). Test mobile builds on real devices and emulators. Work closely with developers to clarify requirements, address unclear acceptance criteria and refine user stories. Update and maintain test plans, checklists and traceability matrices. Provide stakeholders with daily QA status and release-readiness risk reports.
Negotiation
View detailsSenior Full-stack Java Software Engineer
Ho Chi Minh - Viet Nam
Outsource
- Java
- Angular
- Cloud
Create and uphold full-stack web applications using Java as the primary language, Spring Boot for the backend, and Angular (TypeScript) for the frontend. Develop and execute RESTful APIs with a focus on scalability, security, and performance. Engage in system design, technical discussions, and code review. Utilize AWS cloud services for the deployment and management of applications in production. Implement unit tests and integration tests to guarantee code quality. Contribute to Agile/Scrum teams alongside Product Owner, QA, and DevOps. Provide guidance and assistance to less experienced developers.
Negotiation
View detailsSenior Data Engineer
Ho Chi Minh - Viet Nam
Product
Designing and implementing scalable data architectures aligned with business objectives Building and maintaining data pipelines for ingestion, transformation, and delivery using modern orchestration tools Architecting data solutions across data warehousing, data lakes, and real-time analytics Creating and maintaining data models and documenting the enterprise data landscape Building and maintaining data infrastructure supporting ML model training, deployment, and monitoring Designing and implementing vector database solutions for AI-powered features Developing data pipelines for AI-driven capabilities and ensuring global scalability Implementing DataOps practices to ensure data quality, lineage, and governance Defining and enforcing data strategy and architectural principles Building monitoring and alerting for pipeline health, data quality, and SLA compliance Optimizing query performance and cost efficiency Collaborating with product and engineering teams to translate business requirements into data solutions Driving adoption of modern data practices across the organization Contributing to architectural reviews and technical decision-making Taking ownership of data problems through to resolution