QA Automation Engineer / SDET
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- Design tests systematically and automate the highest-value user and service behaviors
- Build reliable API, contract and CI test infrastructure with fast deterministic feedback
- Prove performance, resilience and AI quality with production-grade release gates
Benchmark: Apple Software Development Engineer in Test / Quality Automation + Microsoft Playwright + CMU Software Testing & Operations / Quality Assurance + MIT systematic testing (current Sep 2026) Current bar: systematic test design, unit/component/API/UI automation, Playwright/Cypress, contract testing, fixtures/mocks/test data, CI quality gates, flaky-test control, coverage, performance/load, security/reliability validation, observability and AI/LLM evaluation automation.
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Design tests systematically and automate the highest-value user and service behaviors
Test strategy, systematic design + regression
Coverage: Risk-Based Testing / Unit-Component-E2E / Boundary Cases / Oracles / Regression
Browser/UI automation + resilient end-to-end tests
Coverage: Playwright / Cypress / Selectors / Fixtures / Cross-Browser / Test Resilience
Build reliable API, contract and CI test infrastructure with fast deterministic feedback
API + consumer-driven contract testing
Coverage: REST/API Tests / Schema / Mocks / Pact / Service Compatibility / Test Data
CI quality gates + scalable test infrastructure
Coverage: GitHub Actions / Parallelism / Artifacts / Coverage / Flaky Test Control / Containers
Prove performance, resilience and AI quality with production-grade release gates
Performance, load + reliability validation
Coverage: k6 / Thresholds / Capacity / Latency / Throughput / Failure Signals / Observability
AI/LLM eval automation + nondeterministic quality
Coverage: Golden Sets / Model Evals / Regression Gates / Groundedness / Safety / Trace Debugging
Role-Readiness Proof / Capstone
Complete a 5-day Quality Engineering Build: choose a small web/API product; write risk-based test strategy; create deterministic fixtures and unit/component coverage; automate API plus consumer contracts; build Playwright/Cypress cross-browser flows; add CI with parallelization, artifacts and flaky-test handling; establish k6 performance thresholds and reliability checks; create a release-quality dashboard; deliberately seed faults and prove detection. If the product uses AI, add a golden eval set and regression gate.
Proof Rubric
- Systematic coverage rather than test volume
- maintainable automation
- deterministic fixtures
- API/contract correctness
- resilient browser tests
- fast CI feedback
- explicit flaky-test controls
- meaningful load/performance thresholds
- observable failures
- security/reliability checks
- AI eval quality where relevant
- clear defect evidence and defensible release/no-release decisions