Quality Engineering Architect - Automation & AI

Hexa Group; Castelo Branco; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Private health insurance

Psychological support

Learning opportunities

Childcare vouchers

AI governance training

Resumo da oferta

Hexa Group in Portugal is seeking an experienced Quality Engineering Architect to design and evolve advanced quality engineering solutions for complex enterprise environments. The role blends architecture ownership with hands-on software engineering, connecting automation, test data, environments, CI/CD and AI-enabled capabilities across the lifecycle.

Based in a hybrid model with three on-site days per week in the Tagus Park area, you will define end-to-end architectures, lead technical

Qualificações

• Experience in software architecture for quality engineering.
• Strong background in test automation and CI/CD integration.
• Proficient in designing scalable quality platforms and data flows.

Responsabilidades

• Define end-to-end quality engineering architectures across multiple apps and teams.
• Design reusable frameworks, services and platform components with standards.
• Structure quality workflows from test design to release evidence.
• Develop AI agents and LLM-based workflows for analysis and self-healing.
• Integrate automated quality controls into CI/CD with feedback mechanisms.
• Define test environments and data strategies for repeatable execution.
• Lead architecture decisions and communicate trade-offs to stakeholders.
• Collaborate with teams to convert requirements into validation assets.

Conhecimentos

Architecture ownership

Quality engineering

Test automation

CI/CD and automation

AI-enabled workflows

Observability

Stakeholder communication

English proficiency

Ferramentas

Playwright

Cypress

Jira/Xray

Azure DevOps

Descrição da oferta de emprego

We are looking for an experienced Quality Engineering Architect to design and evolve advanced quality engineering solutions for complex enterprise environments. This role combines architecture ownership with hands‑on software engineering, connecting automation, test data, environments, CI/CD and AI-enabled capabilities across the software development lifecycle. The position follows a hybrid model, with three days per week on‑site in the Tagus Park area.

WHAT YOU WILL DO

• Define end-to-end quality engineering architectures across multiple applications and teams, covering automation, orchestration, integrations, test data, environments and observability.
• Design and implement reusable frameworks, services, connectors and platform components while establishing engineering standards and supporting architecture and code reviews.
• Structure quality workflows across test design, data preparation, execution, failure analysis, maintenance, re‑execution and release evidence.
• Develop and operationalize AI agents and LLM-based workflows for requirements analysis, scenario generation, coverage assessment, failure diagnosis and controlled self‑healing, with appropriate evaluation, traceability, privacy and human oversight.
• Integrate automated quality controls into CI/CD pipelines, including quality gates, risk indicators and actionable feedback mechanisms.
• Define test environment and test data approaches that enable repeatable and parallel execution under representative conditions.
• Take solutions from architecture and proof of concept through implementation and sustained operational adoption, considering scalability, resilience, security, maintainability and operating costs.
• Collaborate with quality, software development and platform engineering professionals to transform functional requirements into maintainable validation assets and coordinated engineering workflows.
• Provide technical direction, communicate architecture decisions and trade‑offs to technical and business stakeholders, and assess the measurable impact of implemented solutions.

WHAT WE ARE LOOKING FOR

• At least 8 years of relevant experience in Software Engineering, Quality Engineering or Test Automation, including at least 3 years with direct responsibility for architecture and technical delivery.
• Proven experience designing, implementing and operationalizing quality engineering or automation solutions across integrated applications and multiple teams.
• Strong software engineering capability, including modular design, automated testing, systematic debugging and code review practices.
• Experience defining test architecture and validation strategies across APIs, user interfaces and system integrations.
• Practical experience implementing at least one LLM or agent-based solution in operational use, including evaluation, failure handling, traceability and human oversight.
• Ability to evaluate architecture decisions across reliability, scalability, maintainability, security, implementation effort, operating costs and measurable value.
• Experience providing technical direction to engineers and communicating complex architecture decisions to both technical and business stakeholders.
• Professional working proficiency in Portuguese and English.

NICE TO HAVE

• Experience developing shared engineering platforms, frameworks or accelerators used across multiple projects or teams.
• Test data management, service virtualization and dependency management in complex enterprise environments.
• Retrieval-Augmented Generation, tool calling, agent orchestration and observability.
• Experience with Playwright, Cypress, Jira/Xray or Azure DevOps.

WHAT WE OFFER

• Private health insurance from your first day, with no waiting period and the option to extend coverage to family members.
• Confidential psychological support, content and live sessions through our well‑being partnership.
• Continuous learning and certification opportunities designed to support long‑term professional development.
• Childcare vouchers and practical measures that support balance between personal and professional responsibilities.
• Opportunities to strengthen your knowledge of quality management, information security, AI governance and cybersecurity best practices.
• A collaborative environment that values transparency, mutual support, adaptability and responsible technical ownership.