Job Description

Who We Are

Build. Scale. Sustain.

We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
We are robust and resilient: 100% independent and 0 debt
We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
We are positive, courageous, caring, doers and committed to excellence

About Gen-e2TM

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:

We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
The quality consistently exceeds the output of our best traditional engineering teams.
A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.

With Gen-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

YOUR ROLE AND RESPONSIBILITIES

As a member of an Agile delivery team, you will be responsible for the design and execution of test automation and quality engineering activities across Web, API, Mobile, Cloud, and Data platforms. You will define and implement test strategies with the team in applying automation, exploratory, performance, and data pipeline testing practices effectively.

You will:

Be responsible for building and maintaining scalable automation frameworks for Web, API, Mobile, Cloud, and Data systems.
Define and execute test strategies, balancing automation, exploratory, performance, and data testing.
Implement automation scripts using tools such as Selenium, Playwright, Cypress, Appium, and Katalon.
Design and execute tests for data platforms, including ETL pipelines, data quality, schema validation, and transformation logic.
Apply structured test approaches for data engineering workflows (batch vs. streaming, ingestion, transformation, storage, and consumption).
Integrate automated tests into CI/CD pipelines and ensure reliable execution.
Perform exploratory testing to uncover gaps not easily detected by automation.
Support performance, scalability, and reliability testing using tools like JMeter, Gatling, or k6.
Apply AI-powered QA tools and prompt engineering techniques to accelerate test creation and analysis.
Collaborate closely with developers, product owners, and business analysts to ensure requirements are testable and automation-ready.

WHO YOU ARE

Strong experience in test automation, framework design, and quality engineering.
Solid background in functional and automation testing across Web, API, Mobile, Cloud, and Data platforms.
Strong in hands-on coding in Java, JavaScript, Python, or similar languages for automation.
Hands-on experience in mobile automation testing with Appium and/or Katalon.
Exposure to performance and load testing.
Experience with AI/ML-driven test tools and basic prompt engineering.
Strong background in exploratory testing and modern test design techniques.
Good understanding of Agile/Scrum delivery.
Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI) and cloud-native testing (AWS, Azure, GCP).
Excellent collaboration and problem-solving skills.

BONUS SKILLS

Knowledge of data platform & data engineering pipeline testing (ETL validation, streaming, data quality).
Experience with big data test strategies and analytics validation.

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

More About PALO IT

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

Become a climate net-zero company
Deliver projects with a positive impact
Train 100% of our workforce on impact
Achieve B Corp certification among all our offices across the globe
Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

Stimulating working environments
Unique career path
International mobility
Internal R&D projects
Knowledge sharing
Personalized training
Entrepreneurship & intrapreneurship

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.