Senior Quality Engineer (Automation, Backend)

ABOUT CLIENT

Our client is a leading data analytics company. They specialize in providing advanced data solutions to help businesses make informed decisions and drive growth

JOB DESCRIPTION

Lead the development of a test automation strategy and framework for backend and cloud-based services.
Drive end-to-end test automation efforts, utilizing Cypress to ensure smooth user experiences.
Conduct detailed manual testing for complex workflows with a focus on UX and usability.
Create and maintain frontend component and unit tests using Jest and React Testing Library.
Develop and execute API-level test suites to cover REST endpoints and validate request/response contracts and error handling.
Verify data integrity from UI interactions through the API layer to the database state.
Promote the use of continuous integration and deployment test practices (e.g., GitHub Actions, Jenkins).
Collaborate with developers and DevOps to enhance test reliability and coverage.
Review code and advocate for QA best practices within the team.
Identify quality risks early and drive proactive solutions.
Ensure compliance with release standards through test result reporting.

JOB REQUIREMENT

Minimum 5 years of experience in software quality engineering or test automation.
Proficient in Python programming.
Ability to write code for frontend and backend layers to develop tests independently.
Proficiency in Cypress or similar testing frameworks and CI/CD integration.
Experience in testing React-based frontends, including component-level and integration testing.
Strong understanding of AWS cloud environments.
Comfortable with Unix-based systems, containers (Docker), and data workflows.
Strong attention to UX/usability with ability to manually navigate and validate complex user workflows.
Excellent analytical and problem-solving skills with attention to detail.
Strong communication and collaboration skills in English.
Hands-on experience with Jest and React Testing Library for unit and integration testing.
Experience with data analytics or bioinformatics pipelines.
Understanding of DevOps.
Experience with test data management and performance testing at scale.
Familiarity with containerization, GitHub Actions, and infrastructure-as-code workflows.
Curious Mindset: Constantly seeks to understand project details and underlying principles.
Clarity and Insight: Actively seeks understanding of project requirements to ensure accurate and effective implementation.
Depth of Perception: Grasps and addresses the core needs and objectives underlying a project.
Implementation Insight: Skilled in outlining and describing project implementation phases.
Articulate Communication: Exhibits strong verbal and written communication skills tailored effectively for different audiences.

WHAT'S ON OFFER

Attractive salary package.
Generous vacation allowance, including flexible holidays.
Comprehensive health insurance and full support as per local labor laws.
Opportunities for professional development.
Provided lunches and access to coffee, tea, and snacks.
Additional benefits as per labor laws, ensuring support for your growth and well-being.

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:

Automation Test, Python

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02206

Status:

Active

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
  • Python

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