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QA Engineer (Senior/Lead) ID35731

AgileEngine

Braga

Presencial

EUR 40 000 - 60 000

Tempo integral

Há 17 dias

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Resumo da oferta

AgileEngine is seeking a QA Automation Engineer to architect and oversee testing strategies, drive QA automation processes, and maintain test infrastructure. This role offers competitive USD-based compensation, mentorship for professional growth, and flexible working hours. The ideal candidate will have over 5 years of experience and solid knowledge in AQA and software development methodologies.

Serviços

Professional growth through mentorship and TechTalks
Competitive compensation and budgets for education
Flextime for optimal work-life balance

Qualificações

  • 5+ years in AQA, Software Test Engineering, or related roles.
  • Experience in AQA Javascript and automation frameworks.
  • Upper-Intermediate English level required.

Responsabilidades

  • Oversee end-to-end test strategies across different testing layers.
  • Drive automation of QA processes and maintain CI/CD quality gates.
  • Establish and monitor key quality metrics per business goals.

Conhecimentos

Attention to detail
AQA Javascript
Proactive learning
Test automation frameworks

Formação académica

Bachelor’s degree in Computer Science, Information Systems, or related field

Ferramentas

Selenium
Pytest
Cypress
Postman
AWS
Azure

Descrição da oferta de emprego

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Client:

AgileEngine

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Other

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EU work permit required:

Yes

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Job Reference:

76d50bbf7db7

Job Views:

3

Posted:

24.06.2025

Expiry Date:

08.08.2025

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Job Description:

Job Description
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)
WHAT YOU WILL DO
- Architect and oversee end-to-end test strategies across different layers in the testing pyramid;
- Define, evaluate, and monitor model validation criteria, including accuracy threshold, confidence scoring, fallback behaviors, etc.;
- Drive the automation of QA processes, ensuring robust, scalable processes for data ingestion, extraction, and classification;
- Lead the validation integration points between AI components and business logic, identifying risks and ensuring seamless operation;
- Own, maintain, and evolve the test infrastructure, specifically the CI/CD quality gates, data generation, and automated validation scripts;
- Establish and monitor key quality metrics aligned with the business goals, including turnaround time, confidence scores, and user corrections;
- Act as a strategic partner to Product and Engineering, and advocate for quality from design through delivery;
- Keep up with the latest AI tech and how to best apply the latest advancements to make the previously impossible possible for our customers;
- Sense of ownership, take ownership of code quality through exploratory and automated tests.
MUST HAVES
-Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field experience;
- 5+ years in AQA, Software Test Engineering, or related roles, including leadership responsibilities;
- Experience in AQA Javascript;
- Solid knowledge of software development life cycle (SDLC), Agile methodologies, and Quality Assurance or Quality Engineering methodologies;
- Proven experience building and scaling test automation frameworks (e.g. Pytest, Cypress, Selenium, Postman, etc.). Strong technical skills with REST APIs, data, pipelines, and backend services;
- Strong technical background with APIs, CI/CD pipelines, backend services, and cloud environments (AWS, Azure);
- Exceptional attention to detail, with a mindset for building robust systems that catch issues early and protect the customer experience;
- Demonstrated fast, proactive learning skills, especially crucial in the rapidly changing field of AI;
- Uppper-Intermediate English level.
NICE TO HAVES
-Experience testing AI/ML in production environments;
- Experience with GenAI model evaluation metrics;
- Experience setting up proactive monitoring and alerting systems to catch issues like model drift, performance degradation, or workflow failures.
THE BENEFITS OF JOINING US
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Your application doesn't end here! To unlock the next steps, check your email and complete your registration on our Applicant Site. The incomplete registration results in the termination of your process.


Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field experience; 5+ years in AQA, Software Test Engineering, or related roles, including leadership responsibilities; Experience in AQA Javascript; Solid knowledge of software development life cycle (SDLC), Agile methodologies, and Quality Assurance or Quality Engineering methodologies; Proven experience building and scaling test automation frameworks (e.g. Pytest, Cypress, Selenium, Postman, etc.). Strong technical skills with REST APIs, data, pipelines, and backend services; Strong technical background with APIs, CI/CD pipelines, backend services, and cloud environments (AWS, Azure); Exceptional attention to detail, with a mindset for building robust systems that catch issues early and protect the customer experience; Demonstrated fast, proactive learning skills, especially crucial in the rapidly changing field of AI; Uppper-Intermediate English level.

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