Quality Architect

We are seeking a highly experienced Quality Architect to define, design, and implement enterprise-wide quality engineering frameworks across cloud-native and platform-based products. This role will drive automation architecture, reliability strategy, and quality governance across distributed systems. The ideal candidate is a hands-on technical leader with deep expertise in automation frameworks, cloud validation, and scalable testing architecture.

Responsibilities

Define enterprise test architecture and automation strategy; Establish standardized frameworks for UI, API, integration, and performance testing; Drive shift-left quality practices and test-driven engineering; Design quality gates and release readiness criteria; Architect reusable, scalable test automation frameworks; Lead CI/CD integration of automated test suites; Improve automation reliability, execution speed, and coverage; Implement API-first and microservices-based test strategies; Design validation frameworks for AWS, Azure, and GCP deployments; Lead performance, scalability, and resiliency testing; Define quality standards for containerized and Kubernetes environments; Partner with DevOps/SRE teams for observability-driven validation; Establish quality KPIs and dashboards; Drive defect prevention and root cause frameworks; Improve release stability and reduce production incidents; Align quality metrics with engineering and business outcomes; Mentor senior QA engineers and automation leads; Influence product architecture from a quality perspective; Conduct architectural reviews and quality assessments; Collaborate with global engineering stakeholders

Requirements

12–15+ years of experience in Quality Engineering and Test Architecture roles; Strong programming expertise in Java and/or Python; Extensive hands-on experience with test automation frameworks such as Selenium, Playwright, or Cypress, API automation tools including REST Assured or similar frameworks, CI/CD pipeline tools such as Jenkins, GitHub Actions, or Azure DevOps, performance testing tools like JMeter or k6, and containerization and orchestration technologies including Docker and Kubernetes; Experience working with major cloud platforms such as AWS, Azure, or GCP; Strong understanding of distributed systems architecture and microservices-based environments

Nice to have

Experience in enterprise cloud migration validation; Exposure to observability tools (Prometheus, Grafana, Datadog); Knowledge of security and compliance testing; Experience working in global delivery models