Mobile/ Web QA Engineer (Tester, QA, QC)

JOB DESCRIPTION

Go directly to TestCase and test software/applications. Ensuring that software/applications before being issued must be of high quality, meet technical standards and load-bearing capacity.
Support application development team to identify problems, test programs to detect errors.
Use Jira to report bugs as well as track bug fixes. 

JOB REQUIREMENT

At least 1-year experience in Mobile/Web testing;
Those from computer science
Meticulous, logical personality
Talk positively
Experience in Office and Git
Those who can communicate in English (communication with the head office)
***If you have experience in development, preferential treatment (those who have an understanding of at least one language such as C, Java, Python, Javascript) 

WHAT'S ON OFFER

Signing a labor contract, enjoying 12 annual leave days and public holidays and New Year holidays according to state regulations
Review salary increase
13th month salary
Lunch allowance, position allowance ...
Teatime: 20p/day -> Provide free snacks, tea, and coffee
The Company gives Tet Gifts, Birthday Cakes...
Party every month (2 times/ month), participating in sports, entertainment and entertainment activities with the Company
The opportunity to interact and learn the most advanced technologies in the IT field.
Working time: Monday – Friday 

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:

Outsource

Technical Skills:

Manual Test

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J00593

Status:

Close

Related Job:

AI Engineer Lead

Ho Chi Minh - Viet Nam

Outsource

  • AI
  • Python

Spearhead the development and deployment of various applications, pipelines, and workflows tailored for financial services applications. Take charge of critical technical determinations related to model choices, design of retrieval systems, workflow structuring, integration strategies, cost considerations, and latency issues. Develop methodologies for evaluation and regression testing, utilizing data analysis and failure diagnostics to enhance the effectiveness of solutions. Ensure that deployed solutions adhere to production standards encompassing reliability, security, observability, data security, and audit trails. Transform business, risk, and compliance prerequisites into actionable technical solutions in collaboration with clients and internal partners. Provide guidance to engineers, fostering the adoption of standardized AI engineering practices, frameworks, and development methodologies.

Negotiation

View details

Senior Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam

Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details