QA Automatizador

Who We Are

Build. Scale. Sustain.

PALO IT is a global innovation consultancy and Agile software development company committed to using technology as a force for good. We partner with organizations to rapidly launch digital products and services, design new business models, and prepare leadership and culture for the future.

We are a community of innovators, designers, and technologists across 5 continents and 18 offices (France, Hong Kong, Singapore, Thailand, Australia, Mexico, and Colombia).

We are proud to be a World Economic Forum New Champion and a certified B Corp in several regions, actively working towards full certification across all offices.

About Gen-e2

While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. 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 — with 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-e2, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.

Your Role

 

As a QA Automation Engineer, you will be responsible for ensuring the quality, scalability, and performance of data platforms and digital solutions throughout their development lifecycle. This hybrid role combines data QA automation, backend/frontend test strategy, and CI/CD integration expertise.

You will work cross-functionally with DevOps, Data Engineering, and Development teams to define, implement, and manage testing frameworks across APIs, data pipelines, microservices, and user interfaces. You will also play a key role in promoting QA excellence, compliance, and test automation culture within Agile environments.

Key Responsibilities:

• Design and implement test automation frameworks for backend (APIs), frontend (UI), and data pipelines (ETL/ELT).
• Ensure the quality and integrity of large datasets across data lakes, warehouses, and production environments.
• Lead test strategy definition, planning, execution, and reporting, aligned with Agile workflows.
• Collaborate with DevOps teams to integrate tests into CI/CD pipelines (e.g., Jenkins, GitLab).
• Validate RESTful, GraphQL, or gRPC APIs, and ensure robust coverage of integration and regression scenarios.
• Write and optimize SQL queries for data validation, transformation testing, and profiling.
• Automate test cases for data ingestion, transformation logic, schema evolution, and API interactions.
• Monitor QA KPIs and visualize test results using Grafana, Kibana, or similar tools.
• Apply best practices in BDD, TDD, and QA governance, including compliance and data privacy.
• Identify defects early and ensure continuous improvement through root cause analysis and collaboration.

Who You Are

Must-Have Skills:

• 3+ years of experience in QA automation, including data-related projects and platform-level testing.
• Strong experience with Karate (Java), JUnit/TestNG, or similar tools for backend automation.
• Expertise in JavaScript or Java for test scripting and framework design.
• Solid understanding of REST, GraphQL, and API lifecycle testing.
• Hands-on experience with SQL, ETL validation, and data consistency checks.
• Proven experience with frontend test automation using Selenium, Cypress, or Appium.
• Knowledge of CI/CD pipelines, Git, and cloud-based test environments.
• Experience with data orchestration tools like Apache Airflow or dbt.
• Comfortable working with Linux-based systems and reading logs in DevOps tools (e.g., Datadog).
• ISTQB Certification (mandatory).

Nice to Have:

• Experience with BDD tools like Cucumber, QMetry, or similar.
• Familiarity with performance testing tools: JMeter, K6, Blazemeter, Taurus.
• Hands-on with data quality frameworks such as Great Expectations, Datafold, or Monte Carlo.
• Exposure to Kafka, event-driven architectures, or streaming validation.
• Knowledge of data security, compliance (GDPR), and ML pipeline testing.
• Familiarity with screenplay patterns, Postman, or other manual testing tools.

More About PALO IT

Guided by our B Corp certification and WEF New Champion status, we’re actively working toward these 2025 commitments:

• Become a net-zero climate company.

• Generate 50% of our revenue from positive impact projects.

• Train 100% of our workforce on impact practices.

• Achieve B Corp certification across all 18 offices.

• Reach 90% employee happiness globally.

Our clients range from startups and SMEs to Fortune 1000 leaders, all of whom aim to create meaningful impact and solve complex global challenges.

What We Offer

• Stimulating and collaborative work environments

• A unique and personalized career path

• International mobility opportunities

• Internal R&D projects

• Knowledge-sharing culture

• Tailored training and mentorship programs

• A spirit of entrepreneurship and intrapreneurship

Discover more about our culture and benefits on our careers page.
Or listen to real voices from our team on the PALOCast.

PALO IT is an equal opportunity employer. We value talent, diversity, and privacy. For more information, please refer to our Privacy Policy.