Senior Platform QA Engineer — AI-Driven, Scalable Automation

Ascenda; Singapore; On-site; SGD 150,000 - 190,000; Full time

Benefits offered by this job

High growth environment & exponential 

Mobile & flexible work environment

WFH office equipment allowance

Medical insurance coverage

Employee recognition programs

Competitive compensation

Travel perks & Employee rewards

Job summary

Ascenda is seeking a Senior/Staff Platform Quality Engineer to join our Singapore or Vietnam offices. You will build and evolve automation frameworks, enable QE tooling, and integrate tests into CI/CD to move quality earlier in the delivery cycle.

You will lead AI-assisted testing initiatives, define reusable testing patterns, and coach Product QEs and engineers on quality practices to sustain high-velocity, reliable software in a fast-growing loyalty platform.

Qualifications

• Hands-on experience designing maintainable automation frameworks for APIs, services, and web apps.
• Strong programming skills in at least one language incl. TS/JS/Java/Python.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins.
• Knowledge of microservices, distributed systems, APIs, testability.

Responsibilities

• Design, develop, and maintain scalable automation frameworks and reusable accelerators.
• Integrate automated tests into CI/CD pipelines for fast feedback.
• Evaluate testing tools and improve framework architecture, execution efficiency, and data management.
• Advise Product QEs and engineers on automation design and quality practices.

Skills

TypeScript/JavaScript

Java

Python

Automation frameworks

CI/CD

API testing

Performance testing

AI testing tools

SaaS/Fintech domain

Tools

Playwright

REST API testing

GitHub Actions

Jenkins

K6

Job description

Ascenda is seeking a Senior/Staff Platform Quality Engineer to join our Singapore or Vietnam offices. You will build and evolve automation frameworks, enable QE tooling, and integrate tests into CI/CD to move quality earlier in the delivery cycle.

You will lead AI-assisted testing initiatives, define reusable testing patterns, and coach Product QEs and engineers on quality practices to sustain high-velocity, reliable software in a fast-growing loyalty platform.