Director of Quality Assurance
Xsolla is a global video game commerce company providing tools and services to launch, monetize, and scale games. Its offerings include payments, web shops, publishing, distribution, LiveOps, anti-fraud, subscriptions, SDKs, and creator solutions for developers, publishers, payment providers, creators, and other gaming businesses.
Maintainer signals as of 8/23/2026
Projects
About Xsolla (USA), Inc.
Xsolla operates as a global merchant of record and video game commerce platform serving developers, publishers, resellers, payment providers, creators, and retailers. It provides payment processing across more than 200 countries and regions, 1,000+ payment methods, and 130+ currencies, alongside tax management, compliance, fraud prevention, refunds, dispute management, and end-user support. Its product portfolio includes Web Shop, Publishing Suite, Payments, Xsolla Pay, Mobile Buy Button, SDKs, Subscriptions, game distribution, Partner Network, Offerwall, LiveOps, Anti-Fraud, Login, Site Builder, cloud gaming, and related gaming commerce tools.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Own and scale Xsolla's quality engineering function across multiple product lines, teams, and time zones. Define the strategic vision for quality assurance, lead a distributed QA organization, and remain deeply technical in test automation, CI/CD, performance engineering, and AI-assisted testing.
Requirements
- 15+ years of experience in QA or Quality Engineering, including at least 6+ years in Senior Manager or Director-level roles.
- Experience leading teams of 30+ people distributed across multiple time zones and cultural contexts.
- Hands-on proficiency in Python, JavaScript/TypeScript, or Java.
- Deep expertise in Playwright, Selenium, Cypress, REST/GraphQL API testing, and SQL database validation.
- Performance testing experience with K6, JMeter, Gatling, or Locust.
- Expert knowledge of Git workflows, branching strategies, pull requests, code reviews, and repository management.
- Expert knowledge of CI/CD with GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar tools.
- Demonstrated use of AI tools in professional QA work.
- Strong understanding of Agile/Scrum methodologies.
- Experience with Qase, TestRail, Zephyr, or similar test management platforms.
- Excellent communication skills.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Responsibilities
- Define and execute the QA strategy across all products, aligning quality objectives with business goals and product roadmaps.
- Own QA deliverables end-to-end from test planning through release sign-off.
- Establish and enforce quality gates, defect governance policies, and release readiness criteria.
- Drive organizational maturity from reactive testing to proactive quality engineering.
- Represent QA at the executive level to articulate quality risks, tradeoffs, and resource needs.
- Architect and oversee enterprise-grade test automation frameworks spanning UI, API, database validation, and performance testing.
- Define and maintain standards for test code quality including code reviews and reusable libraries.
- Maintain Git workflows including branching strategies, merge request reviews, and repository hygiene.
- Design, optimize, and troubleshoot CI/CD pipelines.
- Ensure automation is fully integrated into CI/CD pipelines with pass/fail signals and regression gates.
- Drive adoption of infrastructure-as-code practices for test environments.
- Evaluate, select, and implement QA tooling including test management platforms and defect tracking integrations.
- Use AI tools to generate test cases, write automation code, analyze test results, and accelerate debugging.
- Champion and operationalize AI-assisted quality engineering using Claude AI for code generation, test design, automation scripting, and documentation.
- Define governance frameworks for AI-generated test artifacts.
- Stay current with AI/ML advancements relevant to testing.
- Establish metrics to measure the impact of AI adoption on QA velocity and coverage.
- Lead, mentor, and develop a distributed team of 30+ QA professionals across multiple time zones.
- Build a high-performance culture rooted in ownership and continuous learning.
- Conduct 1:1s, career development conversations, and performance reviews.
- Design and implement onboarding programs and technical training curricula.
- Manage resource allocation and capacity planning across concurrent projects.
- Enforce rigorous QA processes including test case management in Qase.
- Ensure staging bugs are filed with detailed reproduction steps and severity classification.
- Maintain automation framework documentation.
- Drive iterative improvements in QA Score metrics.
- Define and track QA KPIs and OKRs and present quality dashboards to leadership.
- Conduct root cause analysis on production escapes and implement corrective actions.
- Partner with Engineering, Product, DevOps, and Release Management to embed quality practices.
- Participate in and drive sprint planning, retrospectives, and release ceremonies.
- Act as the primary QA stakeholder for cross-functional initiatives.
