Appspace - Senior Director of Software Quality Assurance

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience. • 10–15 years of experience in software quality engineering, with a significant track record in senior QA leadership roles managing managers and leads. • Demonstrated experience leading QA teams that span manual, automation, and performance testing across a large-scale, multi-tenant SaaS platform. • Proven ability to build and manage globally distributed QA teams across multiple time zones, including experience with offshore and hybrid delivery models. • Deep, hands-on understanding of the modern test automation ecosystem — Playwright, Selenium, Cypress, Appium, and API testing tools (REST Assured, Postman) — with the judgment to prescribe the right approach for a given context. • Strong command of performance and reliability testing tools and practices (e.g., JMeter, k6, Gatling, Locust) and the ability to define meaningful SLOs, SLAs, and error budgets. • Experience integrating quality gates into CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Azure DevOps) with sophisticated pass/fail logic and trend-based regression detection. • Solid understanding of modern software architecture — microservices, event-driven systems, APIs, and cloud-native platforms (GCP, AWS, or Azure) — sufficient to reason about quality and performance risk across the stack. • Experience defining and operationalizing quality metrics and KPIs, and reporting quality posture to executive leadership. • Working proficiency with test management and defect tracking tools (Jira, TestRail, Xray, Zephyr) and BDD practices (Cucumber, Gherkin). • Hands-on familiarity with SQL, containerization (Docker/Kubernetes), and scripting in Python and/or JavaScript/TypeScript to stay credible with engineering teams. • Practical experience applying Generative AI tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate test design, automation authoring, or result analysis. • Excellent written and verbal communication skills — able to produce clear strategy documents and executive-facing quality narratives. • Proven ability to lead technical discussions, drive alignment across engineering teams, and influence design decisions without direct authority. • Ability to operate effectively in a globally distributed team environment across time zones. • Experience establishing quality practices for AI-assisted development pipelines and evaluating the quality of AI-generated code. • Experience with cross-browser and real-device testing at scale (BrowserStack, Sauce Labs, LambdaTest, or AWS Device Farm). • Background in security and accessibility testing integrated into the QA lifecycle. • Experience with observability and reliability practices — metrics, distributed tracing (OpenTelemetry), and dashboards (Grafana, Prometheus, Cloud Monitoring). • Experience scaling QA through periods of rapid growth, platform consolidation, or M&A integration. • Experience in regulated or enterprise environments with formal compliance and audit requirements. • Published work, open source contributions, or conference presentations in the software quality domain.