Sr. Quality Engineer

Salary: Open- Market

Skills: LLM, Python

Interview will happen in Glider.

WHAT IS THE OPPORTUNITY?
UST s hiring a hands-on Senior Quality Automation Engineer to test cutting-edge AI solutions for Investment Research, Banking, Sales and Trading. The successful individual will be working on a client project for one the largest financial institutions in Canada.


This team leverages Digital, Data and AI to deepen our relationships with the bank's clients. The team supports our clients in Lending & Finance, Advisory & Origination and Client Trading & Market Making.


You ll be part of a team working on GenAI Initiatives, testing systems that orchestrate models, tools and data into intelligent, context-aware pipelines.


WHAT WILL YOU DO?
Implement and champion best practices in Quality engineering, supporting the implementation of the QE Program and overall QE process and standards through continuous test preparation and execution, leveraging an engineering mindset created by practicing deep, technical and domain expertise.
Responsible for reviewing requirements and business functions
Creating and maintaining end to end test automation frameworks on-prem and in cloud using Python.
Responsible for designing the effective automated test frameworks and data-driven execution approach and test design techniques, suggesting and implementing improvements to the test automation processes and tooling.
Train and mentor junior members of the team to help solidify their automation and testing expertise.
Manual testing is to be expected, but emphasis will be placed on devising and implementing test automation.
Develop standardized procedures - test strategies and plans, regression, integration, end to end testing, automated test cases.
Working with Data Bricks, Snowflake and Azure, testing data hops through the different stages of transformation.
Continuously identify potential issues, conflicts, and risks. Analyze, mitigate, and escalate where appropriate.
Collaborate and contribute on cross-functional enterprise initiatives and manage the effective implementation of assigned deliverables.


Must have:
Minimum 5+ years of experience in a QE/ Agile environment with a focus on technical, automated validations leveraging variety of tools/ technologies/ frameworks.
Undergraduate degree in Technology

Very good Python-coding skills, with focus on Spark/PySpark
Strong QA or Development background with focus on delivering excellent, well-tested, quality software into production, taking on the role of gatekeeper to production.