What are the responsibilities and job description for the Quality Engineer position at SSi People?
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
- Participate in:
- 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
- Strong SQL skills, including:
- MS SQL
- PostgreSQL (or equivalent)
- Full-stack testing mindset covering:
- UI
- APIs
- Data layers
Nice to Have
- Experience with Snowflake
- Exposure to modern data platforms or analytics-heavy systems
AI & Modern QE Expectations
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):
- GitHub Copilot
- 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
- Strong financial services domain exposure (loan origination / servicing)
- 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