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Senior, niche AI-first QA role at a lesser-known company despite metro location reduces competition.
Specialized cloud-native, AI-first quality expertise makes skills highly domain-specific.
Explicit 10–14 years and mandatory cloud-native, distributed systems, automation, performance, and security expertise.
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Lead quality strategy and automation architecture for complex cloud-native, AI-driven services and cross-service workflows.
Own end-to-end quality including design, testing, release, and production operations focusing on reliability, performance, security, and cost-of-quality.
Drive quality standards such as CI/CD gates, observability, risk-based testing, and mentor senior QA engineers across teams.
10 to 14 years of relevant QA, automation, or cloud platform quality experience.
Degree in computer science, mathematics, IT, or relevant professional technical training.
Expertise in distributed systems, cloud-native architectures, test automation, performance engineering, and security testing.
Work Experience Required: 10 to 14 years; Sponsorship or employment outside legal entity countries not available.
Experienced in defining and implementing quality metrics, release readiness gates, and observability practices across teams for cloud-native and AI-first systems.
Capable of leading cross-team quality architecture alignment and resolving complex production quality issues involving multiple systems.
Comfortable using AI tools within disciplined test design and engineering judgment, operating under minimal supervision with proactive responsibility.