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Job description
Quality Engineer (QE) – Capital Transformation
Engagement Type: Contract (Long-term)
Work Model: Remote (Preference for local / regional candidates)
Role Overview
We are seeking an experienced Quality Engineer (QE) to support a large-scale Capital Transformation initiative within a product-based delivery model . This role is embedded directly within a product team and requires close collaboration with product owners, engineers, and business stakeholders.
The ideal candidate is a hands-on Quality Engineer with strong financial domain expertise , an automation-first mindset , and the ability to ensure quality across UI, backend, data, and vendor-integrated systems .
Key Responsibilities
Act as the Quality Engineering representative within an assigned product team
Product team ceremonies
Sprint planning and execution
Go-Live and release activities
Own and execute end-to-end QA processes
Perform testing across:
Internal enterprise platforms
External and vendor-integrated systems
Support User Acceptance Testing (UAT) and collaborate closely with business users
Contribute to continuous improvement of QE practices within the team
Mandatory Skills & Experience
Candidates must meet all of the following requirements:
Financial Domain Expertise (Non-Negotiable)
Hands-on experience in Loan Origination or Loan Servicing
Prior exposure to financial or capital transformation initiatives
Ability to quickly ramp up in complex, domain-heavy environments
Quality Engineering & Automation
Strong Quality Engineering background (not purely functional/manual QA)
Experience across both functional and automation testing
Mandatory automation experience with one or more of the following:
Selenium
Playwright
⚠️ Candidates with only manual/functional QA experience will not be considered
Technical Skills
Backend testing experience
MS SQL
Full-stack testing mindset covering:
UI
APIs
Nice to Have
Experience with Snowflake
Exposure to modern data platforms or analytics-heavy systems
The team actively encourages AI-assisted engineering practices . Preferred candidates will demonstrate:
Prior experience using AI tools in testing or engineering workflows OR
A strong willingness to adopt AI tools in day-to-day work
Examples include (but are not limited to):
ChatGPT
IDE-based or QE-focused AI tools
Interview Process
Two interview rounds
Round 1: Technical / QE-focused discussion
Round 2: Product team interaction and deeper domain alignment
Ideal Candidate Profile
Experienced Quality Engineer with an automation-first approach
Comfortable working within product-aligned agile teams
Confident in stakeholder-facing environments
Engineering-led mindset with openness to AI-enabled QE practices
Additional Notes
This is a long-term contract engagement
Domain expertise and automation skills are mandatory
The role requires hands-on ownership across functional and technical testing
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Worksite address
saint paul, MN, 55199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.