QE Automation role requiring Python, PySpark, Databricks, Snowflake, and AI/LLM knowledge. Contract until April 2026, hybrid in Toronto with banking experience prioritized.
Responsibilities
Hands-on QA Automation Engineer role focusing on automation, data pipelines, and AI/LLM environments. Responsibilities include functional & UI testing (with automation roadmap), test strategy/plans/case writing, performance testing with Locust/JMeter, and working with MCP servers/inspectors. Must work independently in AI-driven data environments.
Requirements
Must-Have Skills: Python, PySpark/Spark – critical Databricks pipelines (ADLS, S3, structured & unstructured data), Snowflake (jobs, notebooks, integrations), Functional & UI Testing (manual now → automation roadmap), Strong test strategy, test plans & test case writing, PerformanceTesting (Locust, JMeter), AI/LLMs knowledge, MCP servers & MCP inspectors (big plus), Jira & Confluence proficiency, Recent Banking/FinancialServices experience will be prioritized.
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