Senior QA Lead: AI-Driven Testing & Flexible Hours

EPAM Systems

Lisboa

On-site

EUR 70,000 - 90,000

Full time

8 days ago

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Benefits offered by this job

Flexible work hours
Career growth
Internal events

Job summary

EPAM Systems in Lisbon seeks a QA Lead to shape how quality is measured across commerce platforms and drive accountability for release confidence. You will implement testing capabilities, mentor teams across delivery sprints and coordinate nearshore QA in Morocco, aligning automation with the test pyramid.

You will own QA KPIs, lead risk-based decisions with Product and Engineering, and explore AI-assisted testing use cases to optimize coverage and production reliability.

Qualifications

  • 5+ years of experience in Quality Assurance or Quality Engineering in complex digital environments.
  • Experience coordinating several teams while remaining hands-on is required.
  • Strong experience in test strategy, risk-based coverage, component, API, integration, end-to-end, regression and exploratory testing.
  • Proven ability to design, improve or migrate automation frameworks and integrate automated tests into CI/CD pipelines.
  • Proven experience leading nearshore QA teams in a managed-service model, including capacity and delivery steering, KPI and service-level reviews.
  • Solid understanding of system integrations, microservices and e-commerce or commerce platforms.
  • Ability to use QA metrics such as coverage, regression health, automation stability, defect leakage and defect ageing for decision-making.
  • Practical understanding of AI-assisted testing is an advantage.

Responsibilities

  • Implement and evolve testing capabilities, including component-testing frameworks, and improve or migrate automation frameworks while aligning coverage with the test pyramid.
  • Coordinate testing across delivery teams and releases, tracking scope, progress, environments, data, dependencies, blockers and residual risks throughout each sprint.
  • Lead defect qualification, prioritization, investigation and follow-up, and coordinate root-cause analysis and facilitate risk-based arbitration with Product and Engineering.
  • Own the regression suite and automation roadmap, improving reliability, maintainability, execution stability, traceability and relevance to production risks.
  • Lead the nearshore managed-service team in Morocco by defining priorities, capacity, deliverables, service levels and operating routines, and challenge estimates, commitments, evidence and coverage gaps.
  • Retain internal ownership of QA KPIs, definitions, source data and calculation rules, review provider reporting and use metrics to drive accountability and improvement.
  • Build effective collaboration across Product, Engineering, DevOps, business stakeholders, Maisons and external partners, align expectations, facilitate quality decisions and ensure risks, dependencies and actions are clearly understood and owned.
  • Produce quality status, release-risk assessments and test exit recommendations for technical and non-technical stakeholders.
  • Explore practical AI-assisted QA use cases for test design, coverage analysis, defect triage, evidence synthesis and maintenance optimization, with appropriate review and traceability.

Skills

Test strategy
Risk-based coverage
API testing
Integration testing
End-to-end testing
Regression testing
Exploratory testing
Automation framework design
CI/CD integration
QA metrics / KPI management
Team leadership

Education

5+ years of QA/Quality Engineering experience

Tools

CI/CD tooling
Test automation frameworks
API testing tools

Job description

EPAM Systems in Lisbon seeks a QA Lead to shape how quality is measured across commerce platforms and drive accountability for release confidence. You will implement testing capabilities, mentor teams across delivery sprints and coordinate nearshore QA in Morocco, aligning automation with the test pyramid.

You will own QA KPIs, lead risk-based decisions with Product and Engineering, and explore AI-assisted testing use cases to optimize coverage and production reliability.

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