Senior Quality Architect — AI-Driven SDLC & Automation

Noesis; Oeiras; On-site; EUR 120,000 - 150,000; Full time

Job summary

Noesis is seeking an experienced Quality Engineering Architect to own the design, implementation and evolution of quality solutions across complex enterprise environments. This role requires deep software engineering capability and a proven track record of architecture leadership.

You will lead architecture and technical delivery, connecting requirements with automation, test data, environments, CI/CD and AI agents across the SDLC to deliver scalable solutions.

Qualifications

• 8+ years in Software Quality/Engineering with architecture ownership.
• Hands-on with Python/TypeScript/Java and reusable components.
• Experience with CI/CD, cloud, containers, and API integrations.
• Proven ability to lead architecture discussions to technical and business stakeholders.
• Fluent in Portuguese and English.

Responsibilities

• Own end-to-end Quality Engineering architectures across multiple applications and teams.
• Design reusable frameworks, services and platform components and lead reviews.
• Define workflows for test design, data prep, execution, analysis and release evidence.
• Build AI agents and LLM workflows for requirements analysis and scenario generation.
• Integrate quality controls into CI/CD pipelines and establish quality gates.
• Collaborate with Business Quality Analysts, developers and platform engineers to translate inputs into validation assets.
• Act as technical reference for teams and clients, explaining trade-offs.

Skills

Software architecture

Leadership

Technical communication

Problem solving

Mentorship

Tools

Playwright

Cypress

Jira/Xray

Azure DevOps

Git

Job description

Noesis is seeking an experienced Quality Engineering Architect to own the design, implementation and evolution of quality solutions across complex enterprise environments. This role requires deep software engineering capability and a proven track record of architecture leadership.

You will lead architecture and technical delivery, connecting requirements with automation, test data, environments, CI/CD and AI agents across the SDLC to deliver scalable solutions.