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Metro location and mid-level SDET title increase applicants, but niche AI-integration skills moderate density.
Skills are transferable but AI-native integration focus requires domain-specific experience, so medium sensitivity.
Moderate due to required automation, integration, CI/CD and AI-native testing experience without explicit years.
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Design, develop, and own automation frameworks and testing infrastructure that ensure scalable testing and quality across integrations, connectors, and agent workflows.
Validate complex integration workflows involving APIs, authentication, webhooks, retries, and third-party dependencies to ensure reliable system behavior.
Build and maintain automated test suites, quality gates, and CI/CD checks to enable automation-driven quality signoff and improve production reliability through root-cause analysis and preventive improvements.
Experience building automation frameworks and quality platforms for API, integration, contract, and end-to-end testing layers.
Experience testing and validating complex integration-heavy systems involving multiple services and external dependencies.
Familiarity with AI-powered validation systems and evaluating non-deterministic AI-driven workflows.
Work Experience Required: Not explicitly mentioned in the JD
Demonstrates strong product judgment balancing customer impact, reliability, delivery speed, and validation depth, focusing engineering effort on highest-risk areas for customer confidence.
Operates with ownership mentality, driving issues to resolution and continuously improving quality outcomes in a fast-moving, ambiguous environment.
Has experience and comfort reasoning about distributed systems concepts such as authentication, retries, idempotency, and eventual consistency in multi-service integrations involving AI-native systems.