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QA Architect
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
SGD 72,000 – SGD 96,000 / year
Location:
Central Region, Malawi
Work mode:
Remote
Published on:
18 August 2026
What they need
About the role
You'll be the technical authority on how quality is engineered: setting the standard SDETs build against, moving quality earlier in the lifecycle, and using AI to materially reduce the cost of testing. This is an architect role, not a management one. Your influence will come from the quality of your designs, your presence in architecture reviews, and your credibility with engineers who don't report to you.
Key responsibilities
- Define, document and champion a multi-year quality engineering strategy tied to business objectives
- Establish what gets tested at which layer (unit, integration, contract, E2E), by whom, and with what exit criteria — and get teams to converge on it
- Set standards for test code quality, framework design patterns, maintainability and flake management that SDETs build against
- Own the tooling roadmap: evaluate, consolidate and make build-vs-buy calls across existing and future toolchain
- Run architecture review sessions for test design, and mentor senior SDETs on framework and automation design
- Embed in product design and architecture reviews to identify quality risk before code is written
- Define what "testable by design" means and hold new designs to it
- Move quality signal earlier in the pipeline so failures surface at the right layer
- Define where AI genuinely reduces cost in testing lifecycle and evaluate AI-assisted testing tooling
- Design test data management strategy, environment strategy and resilience testing approach
About you
- 10+ years in software quality engineering or software development, including 3+ years at principal, staff, lead SDET or architect level
- Expert-level coding in Python or TypeScript with real software design pattern fluency
- Proven track record designing a test automation framework that other engineers adopted at scale
- Hands-on experience applying AI to quality engineering, with quantifiable results
- Hands-on CI/CD pipeline design (GitHub Actions, GitLab CI, Jenkins or Azure DevOps) and containerised execution (Docker, Kubernetes)
- Practical experience with Playwright or equivalent modern browser automation, plus API and contract testing
- Test data management at scale
- Cloud platform experience (AWS, Azure or GCP)
- Demonstrated ability to change how engineers work without having authority over them
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