Elena Vasquez QA Manager
Boston, MA • elena.vasquez@gmail.com • +1 (617) 555-0163
Profile Summary
- QA Manager with 12+ years of experience leading quality engineering teams across SaaS, fintech, and high-growth scaleups, specialized in test automation strategy, release governance, and embedding quality into the SDLC.
- Comfortable across the QA leadership stack with team management (1:1s, calibration, hiring, performance reviews), automation strategy (Playwright, REST Assured, k6, Selenium), test management (Jira, TestRail, Xray, Zephyr), and quality reporting (Looker, Datadog, automated KPI dashboards).
- Strong grounding in Agile testing, BDD, risk-based testing, test pyramid adoption, shift-left and in-sprint testing, and KPI-driven quality management across quality engineering leadership at scale. Comfortable balancing automation coverage against maintenance cost and flakiness.
- Comfortable working across engineering, product, DevOps, security, and customer support leadership to align on quality expectations, integrate QA into the SDLC, and resolve cross-team friction.
- Bias toward measurable outcomes over process theater, mentor to QA engineers and SDETs growing into senior and lead roles, and frequent contributor to internal quality playbooks and engineering-leadership forums.
Technical Skills
- Languages:
- Python, Java, JavaScript/TypeScript, SQL, Bash
- Test Management & Tracking:
- Jira, Xray, TestRail, Zephyr, Confluence, Notion
- Test Automation:
- Playwright, Cypress, Selenium, REST Assured, pytest, JUnit
- Performance & Reliability:
- k6, JMeter, Gatling, Datadog, Grafana, New Relic
- CI/CD & DevOps:
- GitHub Actions, Jenkins, GitLab CI, Docker, Kubernetes
- Process & Methodology:
- Agile/Scrum, BDD, risk-based testing, test pyramid, shift-left, in-sprint testing, OKR
- Leadership & People:
- structured interviewing, calibration, career laddering, performance reviews, coaching, vendor management
- Reporting & Dashboards:
- Looker, Tableau, Power BI, JQL, automated KPI dashboards
Education
Work Experience
- Owned the quality engineering function supporting 90+ engineers across 5 product squads, leading end-to-end definition across QA strategy, automation roadmap, and release governance for the email marketing and SMS platforms.
- Built and managed a QA team of 12 (3 SDETs, 6 QA engineers, 2 performance testers, 1 lead), running weekly 1:1s, quarterly career reviews, and structured calibration to lift internal promotions to 4 in two years and hold attrition under 8%.
- Rolled out Agile testing, BDD, and risk-based test prioritization across 5 squads, embedding in-sprint test design and shift-left review checklists that shortened release-candidate validation from 6 days to ~2 days.
- Defined the quality KPI dashboard (escape rate, automation ROI, MTTR, release-readiness) in Looker and Jira, partnering with engineering leadership to drive escape rate from 3.8% to ~0.9% and automated test coverage from 41% to ~72% in 18 months.
- Drove the test automation strategy across Playwright, REST Assured, and k6, prioritizing maintainability over coverage volume to cut flaky-test rate from 14% to ~2.5% while growing the automated suite from ~6,000 tests to ~14,500.
- Owned release go/no-go criteria for weekly production releases across 4 services, defining regression, performance, and security gates that brought production rollback rate from ~9% to ~1.5% over four quarters.
- Partnered with engineering, product, DevOps, and security leadership to embed QA into the SDLC at design and PR-review stages, eliminating ~30% of late-stage rework and lifting on-time release rate from 78% to ~96%.
- Championed a "quality as everyone's responsibility" culture across the point-of-sale platform team, building a shift-left review checklist and post-incident defect-class analysis that lowered escape rate from 6.1% to ~2.4% and earned a company-wide quality-engineering award.
- Led the automation framework migration from Selenium to Playwright across 3 product squads, mentoring 6 SDETs through the rewrite and cutting suite runtime from 92 minutes to ~28 minutes across 2,800 scenarios.
- Defined performance test gates with k6 and JMeter for kitchen display and order-routing services, baselining p99 < 240ms and catching 4 scaling bottlenecks before peak-holiday rollouts.
- Built release-readiness dashboards in Grafana, reporting defect density, automation ROI, and regression coverage to engineering leadership and driving release-candidate cycle from 4 days to ~1.5 days.