We are seeking a Test Automation Architect who will drive our transformation from traditional QA to Quality Engineering (QE) by embedding automation across test activities. You will partner closely with developers, DevOps, and backoffice teams to enable continuous quality throughout the software development lifecycle. This is a strategic role focused on improving test coverage, efficiency, and speed of delivery across our eCommerce and back-office platforms.
Role Summary
The Test Automation Architect will lead the design and implementation of scalable test automation frameworks and set quality engineering standards across the organization. This role requires a strong technical background in automation, AI-enhanced testing practices, deep understanding of CI/CD, and a collaborative mindset to influence quality at all stages of development.
You will define our automation strategy, integrate tests into CI/CD pipelines, introduce AI-driven test optimization techniques, and coach teams on quality best practices. As the highest technical authority on QA automation, you are expected to guide teams toward a sustainable and scalable quality approach aligned with our business growth.
Key Responsibilities
- Design and maintain enterprise-level automation frameworks for Web and API applications.
- Standardize test structure across teams using tools like Selenium, Playwright, and JMeter.
- Integrate AI/ML-based solutions to enhance test coverage, flakiness detection, and test prioritization.
- Collaborate with developers to shift quality left and improve unit and integration test coverage.
- Establish a strategy for transitioning legacy and manual test suites into fully automated execution.
- Embed test automation into CI/CD pipelines (e.g., GitLab, Jenkins).
- Define and monitor quality gates, enabling rapid feedback on code quality
- Work with DevOps and Engineering teams to ensure seamless integration of automated tests in deployment workflows.
- Lead test strategy planning across regression, exploratory, integration, non-functional, and AI-based testing efforts.
- Define and enforce QE standards, tools, and reporting structures.
- Drive governance to ensure performance and security tests are integrated where applicable.
- Coach and mentor Test Automation and Performance Engineers in scalable, maintainable automation and AI-enhanced testing practices.
- Promote a quality-first mindset and continuous improvement across QA and development teams.
- Review automation code and practices to ensure consistency, efficiency, and reliability.
- Define automation KPIs including test coverage, pass rates, execution time, and bug leakage rate.
- Provide data-driven reports and trend analysis to Engineering and Leadership teams.
- Enhance test observability through structured logging, dashboards, and test analytics.
Key Deliverables
- Scalable, maintainable test automation frameworks integrated across eCommerce and back-office platforms.
- CI/CD pipelines with robust quality gates and AI-augmented test execution.
- Defined QE standards and processes with consistent adoption across teams.
- Measurable improvements in test efficiency, coverage, and defect detection.
- Strong mentorship culture and collaborative partnerships across engineering groups.
Requirements
Education
- Bachelor’s degree in Computer Science, Information Technology, or related fields.
Experience
- Minimum 10 years in QA/QE roles, with at least 3 years in a test automation leadership or architect capacity.
- Proven track record of building enterprise-grade test automation frameworks and driving quality strategy.
- Hands-on experience implementing or integrating AI/ML in test automation workflows (e.g., self-healing tests, predictive analytics, test case generation).
- Experience working with eCommerce, SaaS, or large-scale distributed systems is a plus.
Technical Skills
- Expertise in automation tools such as Selenium, Playwright, JMeter, and REST API testing frameworks.
- Proficient in Python, Java, or JavaScript for scripting and test development.
- Experience using or integrating AI tools for test selection, anomaly detection, and intelligent test data generation.
- Solid understanding of CI/CD pipelines and toolchains (e.g., GitLab CI, Jenkins).
- Familiarity with cloud infrastructure, containerized environments, and distributed test execution.
- Experience with test management platforms like Zephyr Scale or TestRail.
- Exposure to performance testing and mocking frameworks is a plus.
Soft Skills
- Excellent communication and stakeholder management skills.
- Strong analytical and decision-making abilities.
- Proven leadership and mentoring capabilities.
- Adaptability and a continuous learning mindset.
- Strong attention to detail and results-oriented approach.
