Our client is looking for QA Developer/Test Engineer, remote 12 months with extension. Please send me resume, rate and contact details
1. GRAPHQL and TYPESCRIPT
2. MQTT, or Amazon SQS, or Kafka, or NATS / Jetstream
3. Playwright for UI testing
Comments from manager:
Everyone claimed to have 5–7 years of experience with GraphQL and event-driven architecture, but when we asked even basic technical questions, they couldn't answer them. When we dug deeper into their experience, they admitted that the vendor/recruiter had asked them to tweak their resumes to better match the job requirements.
Remote anywhere in US - working CST
Possible for extension but not conversion/ only contract
What you'll need to thrive (Requirements)
Solid proficiency in Node.js and TypeScript; experience with test runners such as Mocha
Hands-on experience with UI test automation frameworks, including Playwright
Experience testing MQTT or similar Pub/Sub interfaces (e.g., WebSockets, SSE)
Experience testing GraphQL APIs, including writing and maintaining tests for complex queries
Working knowledge of cloud environments and containerized deployments, including Docker images and container registries
Working knowledge of Git and Git-based workflows, including CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins)
Experience analyzing and correlating application and service logs across multiple services (e.g., tracing errors, debugging test failures)
Experience using Jira (or similar tools) for task and issue tracking
Familiarity with Android test automation using frameworks such as Appium.
A day in the life (Responsibilities)
Design, test, and maintain automated tests for Yum services
Lead efforts in drafting test scenarios and writing tests to cover functional use cases for each feature.
Collaborate with teams across Yum services to triage bugs and investigate failures in various environments.
Monitor and maintain test pipelines, and use observability tools and test logs to identify and fix failures.
Clearly communicate bugs and proactively initiate discussions to aid issue discovery and resolution.
Leverage cutting-edge AI tools to enhance the development workflow and improve delivery velocity.
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