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CV Example · Tech · UK 2026

QA Engineer CV Example UK

I have placed QA Engineers across UK fintech, e-commerce, AI products and regulated services for twelve years. The CV bar in 2026 has shifted significantly: pure-manual-tester roles have compressed; the thriving role is QA Engineer with shipped automation, CI/CD pipeline ownership, and product instinct. Senior QA Engineers in London earn £70-100k base, more at SDET-titled roles and AI-product companies. The CV that stalls in 2026 is the one heavy on test-case-writing and light on automation depth. Below is the format that works for UK senior shortlisting in 2026.

Alex By Alex · 12-year UK recruiter · Updated April 2026

Example header

Senior QA Engineer / SDET | Playwright + k6 + AI testing | CI/CD partnership | UK based


Personal statement / Professional summary

Senior QA Engineer with 7 years across UK fintech and AI products. Built test automation strategy that cut PR cycle time from 28 minutes to 9 minutes with flake rate dropping from 6 percent to 0.4 percent. Led test infrastructure for AI-product company with eval-engineering pipeline catching 84 percent of LLM regressions pre-deploy. Reduced critical-bug escape rate from 14 per quarter to 2 per quarter by introducing risk-based test prioritisation, contract testing and exploratory-test discipline. AI testing experience: built golden-dataset eval harness for LLM-powered features handling 80k users.

Bullet point examples

Strong bullets follow the same shape: action verb, specific scope, quantified outcome. Use these as patterns, not as copy-paste templates — the numbers must be your own.

Test automation strategy

  • Cut CI cycle time from 28 minutes per PR to 9 minutes with flake rate dropping from 6 percent to 0.4 percent by parallelising suite across 4 runners, fixing 12 root-cause flakes, migrating Selenium to Playwright and moving heavy E2E to nightly
  • Built test pyramid for new B2B SaaS product: heavy unit-test layer (developer-owned), focused contract-test layer with Pact, thin Playwright E2E layer for 8 critical user flows; reduced QA escalation rate to engineering by 70 percent
  • Migrated 320 Selenium tests to Playwright over 6 months without coverage gap; cut total E2E run time from 42 minutes to 18 minutes and improved cross-browser parity from 4 browsers (manual) to 5 browsers (automated)

AI feature + production testing

  • Built golden-dataset eval harness for LLM-powered features handling 80k users; caught 84 percent of regressions pre-deploy with LLM-as-judge scoring plus human spot-checks on 5 percent sample
  • Designed prompt-injection-safety test suite for AI customer-support feature; identified 6 production-relevant injection vectors and 4 PII-exposure paths before launch
  • Built cost-monitoring dashboard for LLM test runs preventing CI cost overruns; capped test spend at £180/month while maintaining full eval coverage

Performance + load testing

  • Designed k6 load-test suite covering 12 critical API endpoints; identified 4 hot paths that would have failed at expected peak traffic and worked with engineering to fix pre-launch (saved 1 likely Sev-1)
  • Reduced p99 latency from 480ms to 95ms on payments API by partnering with backend on query-plan analysis using EXPLAIN ANALYZE outputs from realistic-scale test data
  • Built soak-test discipline that catches memory leaks; identified 3 production memory issues over 18 months that would otherwise have surfaced as overnight outages

Quality discipline + cross-functional

  • Reduced critical-bug escape rate from 14 per quarter to 2 per quarter by introducing risk-based test prioritisation, contract testing between services and weekly exploratory-test sessions on top-changed surfaces
  • Trained 18 engineers on test-pyramid discipline and Playwright authoring; team-owned test count grew from 220 to 1,200 in 12 months with QA Engineering shifting to platform and tooling work
  • Reduced flaky-test count in CI from 38 to 4 over 9 months by enforcing root-cause-fix policy, quarantine deadline of 7 days, and team-level flake rate as a published metric

Skills section — what to list

Mirror the skills exactly as they appear in target job ads. The ATS reads this section literally — synonyms hurt match scores.

Playwright (TypeScript, Page Object Model)Cypress (secondary, where existing)k6 and Locust for load testingPact and Postman/Newman for contract testingjest-axe and Lighthouse for accessibilityEval engineering for LLM featuresTest data management (synthetic, masking, isolation)CI/CD pipelines (GitHub Actions, GitLab CI)Test pyramid strategy and risk-based testingExploratory testing as a senior disciplineMobile test automation (XCUITest, Compose Test)API testing and validationPerformance testing and SLO definitionChaos engineering basicsQuality reporting and metrics dashboards

QA Engineer-specific CV mistakes that get you binned

  • × Listing 'manual testing, regression testing, smoke testing' as differentiators in 2026. UK panels expect those as table-stakes; show automation depth.
  • × Bullets without measurable outcomes. 'Improved test coverage' is not a senior QA bullet; 'cut CI cycle from 28 to 9 minutes with flake rate from 6 percent to 0.4 percent' is.
  • × Skipping CI/CD pipeline ownership. UK senior QA hires are CI/CD partners with engineering; a CV without pipeline-improvement evidence reads as test-only specialist.
  • × Mentioning AI testing without specifics. 'Familiar with AI features' is not enough; 'built golden-dataset eval harness catching 84 percent of LLM regressions pre-deploy' is.
  • × Treating Selenium as a current skill in 2026. UK senior panels want Playwright (or Cypress where existing). Pure Selenium expertise reads as 18 months out of date.

Common questions

How do I show QA impact on my CV when most of my work prevents bugs that don't ship?
Use preventive metrics that are credibly attributable: critical-bug escape rate (per quarter), CI cycle time, flake rate, test coverage uplift, time-to-detect for regressions, customer-reported defect rate. UK panels in 2026 know QA is preventive — they're not expecting you to claim revenue uplift. The format that works is preventive numbers: 'Reduced critical-bug escape rate from 14 per quarter to 2 per quarter by introducing risk-based prioritisation and contract testing'. That's accurate and shows your contribution. The mistake is leaving impact off (reads as if your work didn't ship outcomes) or claiming impact you can't prove.
Should I include AI testing experience on my QA Engineer CV in 2026?
Yes — it's a shortlist criterion at most UK QA roles above £65k now. The way to do it well is to show specific eval-engineering work: golden datasets, LLM-as-judge with human spot-checks, prompt-injection testing, regression testing for prompt changes, cost monitoring. Format: 'Built golden-dataset eval harness catching 84 percent of LLM regressions pre-deploy with LLM-as-judge scoring plus 5 percent human sample'. QA CVs that ignore AI in 2026 read as out of date; AI feature testing is a regular interview topic and a shortlist signal.
How long should a QA Engineer CV be in the UK?
Two pages for senior QA roles (5+ years experience), one page for junior to mid-level (1-4 years). The mistake QA engineers often make is letting the CV inflate to three pages with detailed test-case lists, every project, every tool. Your CV should hit the headline outcomes (escape rate, CI time, flake rate, automation coverage), the strategy (test-pyramid choices, risk-based prioritisation), and the cross-functional partnership. UK hiring managers in 2026 spend 60-90 seconds on a QA CV; the strategy interview carries the depth. Keep the CV tight on outcomes.