Test Architect

ALOIS Australia; City of Melbourne; On-site; AUD 150,000 - 210,000; Full time

Job summary

ALOIS Australia is seeking a Test Architect with 14 to 18 years of experience in Quality Engineering, Test Architecture, and Quality Transformation for large-scale enterprise applications in regulated domains.

You will define scalable quality engineering standards, automation roadmaps, test operating models, and governance across BFSI programs, with emphasis on AI/GenAI testing, cloud, performance, and security. Excellent consulting and stakeholder management are essential.

Qualifications

• Deep expertise in enterprise test architecture, quality engineering strategy, automation architecture.
• Automation modernization and DevSecOps integration across BFSI programs.
• AI/GenAI-enabled testing, cloud-native testing, performance engineering, and data validation.

Responsibilities

• Define and govern enterprise test architecture, quality engineering standards, frameworks, and automation strategy across BFSI programs.
• Architect scalable solutions for functional, API, integration, performance, security, data, and cloud testing.
• Drive quality transformation initiatives including automation modernization and AI/GenAI adoption.
• Provide architecture leadership, tool evaluation, PoCs, and roadmap planning for quality engineering ecosystems.
• Establish governance for quality metrics, automation effectiveness, reusability, and release readiness.

Skills

Selenium

Rest Assured

Job description

Looking for a Test Architect with 14 to 18 years of experience in Quality Engineering, Test Architecture, and Quality Transformation for large-scale enterprise applications. Experience in Banking (BFSI) or other highly regulated industries is preferred. The candidate should possess deep expertise in enterprise test architecture, quality engineering strategy, automation architecture, test governance, and DevSecOps integration. The role requires defining scalable quality engineering solutions, enterprise standards, automation roadmaps, test operating models, and quality transformation initiatives across complex programs. Experience in AI/GenAI-enabled testing, cloud-native applications, performance engineering, security testing, data validation, observability, and test data management is highly desirable. Strong consulting, stakeholder management, architecture governance, technology evaluation, and solutioning skills are essential.

Primary Skills

Selenium, Rest Assured

Secondary Skills

Quality Engineering Strategy & Transformation

Test Governance, Quality Metrics & Release Quality Gates

CI/CD, DevOps & DevSecOps Integration

AI/GenAI, Agentic AI & Prompt Engineering for Testing

Performance Engineering (JMeter, LoadRunner)

Security Testing & Compliance

Cloud Testing & Cloud-Native Quality Engineering (Azure/AWS)

Data Validation, ETL & Database Testing

Observability, Quality Analytics & Engineering Metrics

Automation CoE Setup, Standards & Governance

Risk-Based Testing & Test Strategy

Microservices, Event-Driven & Distributed Systems Testing

Banking (BFSI) or other Highly Regulated Domain Experience

1.Define and govern the enterprise test architecture, quality engineering standards, frameworks, and automation strategy across BFSI programs.

2. Architect scalable solutions for functional, API, integration, performance, security, data, and cloud testing, aligned with business and regulatory requirements.

3. Drive quality transformation initiatives, including automation modernization, AI/GenAI adoption, DevSecOps integration, and engineering excellence.

4. Provide architecture leadership, technology evaluation, tool selection, PoCs, and roadmap planning for quality engineering ecosystems.

5. Establish governance for quality metrics, automation effectiveness, reusability, test assets, and release readiness across multiple programs.

6. Collaborate with senior business, technology, and delivery stakeholders to define quality objectives, mitigate risks, and ensure predictable releases.

7. Mentor QA leads while driving CoE-led best practices, innovation, and continuous improvement across the organization.