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Location
In office (Shenzhen)
Seniority
Senior · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
ShopBack is a shopping rewards and cashback platform headquartered in Singapore and founded in 2014. The company provides a mobile app and browser extension that allow users to earn cashback on purchases from thousands of partner merchants across categories like fashion, electronics, and travel. It operates across ten markets in the Asia-Pacific region, serving millions of shoppers and partnering with major e-commerce platforms and physical retailers to drive sales through performance-based marketing.

We are seeking a highly skilled Software Engineer in Test (SET/SDET) to join our engineering team. You will be responsible for ensuring the world-class quality of our software applications by developing automated test frameworks, scripts, and tools, creating test cases, and managing manual test processes. You will also get to work on CI/CD pipeline to improve product quality via automation.

This role is ideal for candidates with a strong understanding of software quality methodologies and test automation skills who thrive in a fast-paced development environment and have a passion for delivering high-quality products.

Your Adventure Ahead

  • Ensure product quality via automation and manual tests, manage test execution, and organize quality tracking & reporting throughout the software development lifecycle
  • Evaluate product requirements, define testing strategies, manage test plans/cases to ensure robust coverage, and identify test automation opportunities early in the development
  • Improve and integrate automated tests into the CI/CD pipeline to enable continuous testing and faster feedback loops
  • Prepare and set up test environments including data generation, validation, and the development of testing tools
  • Collaborate with cross-functional teams including developers, product managers, QA, tech support, and customer service to ensure software meets the highest standards of quality, and streamline the workflow with automation

Essentials to Succeed

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
  • 7+ years of experience as a SET, software engineer, test automation engineer, or QA engineer.
  • Proficiency in modern programming languages (e.g., Java, Python, JavaScript, etc.).
  • Hands-on experience with various automation tools such as Selenium, Appium, JUnit, Cypress, Jenkins, and other modern test automation frameworks.
  • Strong knowledge of continuous integration/continuous delivery (CI/CD) practices and how test automation fits within DevOps pipelines.
  • Demonstrated use of Generative AI tools (e.g. ChatGPT, Cursor, Claude) to develop new or improve workflows, enhance productivity, and drive efficiency at scale.
  • Experience in mobile (iOS and Android) and web application testing is highly preferred
  • Strong understanding of performance and load testing is preferred
  • Excellent verbal and written communication skills in English

Candidates must possess strong expertise in at least one of the following core areas

  • Performance and Load Testing - Proficiency with tools such as JMeter, Locust, or equivalent frameworks; hands-on experience in load test environment setup, test design, and performance bottleneck analysis is highly valued.
  • CI/CD and DevOps Automation - Deep experience with Jenkins, including pipeline scripting, plugin-level customization, and strong capability in monitoring production data quality and observability tooling to ensure reliable continuous delivery.
  • Test Tools and Framework Development - Solid full-stack development capabilities, including front-end proficiency in Vue / JavaScript, and back-end expertise in Python with Flask or Django; capable of building internal testing tools, dashboards, or automation frameworks from scratch.

Technologies We Use & Love

  • Cloud: AWS
  • Infra: Kubernetes
  • Programming languages: NodeJS / Typescript
  • Relational database: Postgres
  • Message queue: Kafka, SQS
  • Continuous Integration: Gitlab
  • Monitoring: DataDog
  • Big Data: Redshift, Spark, S3, etc.
  • Communication: Slack
  • Project Management: JIRA / Confluence
  • Other technologies:
  • Knative Eventing / Serving
  • Debezium + Kafka Connect
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