AI-Native Engineer; Test Automation

Position: AI-Native Engineer (Test Automation)
Location: Palo-Patarè

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'reproud to be a World Economic Forum New Champion, and a B Corp-certified company.
We are small enough to care locally, big enough to deliverglobally :5 continents, 10 countries, +500 experts from +50 nationalities across the Americas,Europeand 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 yearsexpertisein digital transformation, our approach is agame-changerin 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 Git Hub 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  (Git Hub Actions, Jenkins, Git Lab CI) and  cloud-native testing  (AWS, Azure, GCP).

Excellent collaboration and problem-solving skills.

Certification in Claude AI (Anthropic) is a plus

BONUS SKILLS
Knowledge of  data platform & data engineering pipeline testing  (ETL validation, streaming, data quality).

Experience with big data test strategies …