NavitasPartners - 621 emplois
Burnaby, BC
Posté aujourd'hui
Détails de l'emploi :
Temps plein
Expérimenté
Job Title: QA Automation Engineer – Financial Applications
Position Overview
We are seeking a QA Automation Engineer to ensure quality and reliability of BFSI applications across banking, payments, and regulatory systems.
Key Responsibilities
- Develop automated test frameworks for web, API, and backend systems
- Validate financial transactions, data accuracy, and compliance workflows
- Perform regression, integration, and performance testing
- Work closely with development teams in Agile environments
- Ensure compliance with regulatory and audit standards
Required Skills
- Automation tools (Selenium, Cypress, Playwright)
- API testing (Postman, RestAssured)
- Programming (Java / Python / JS)
- Understanding of BFSI workflows (payments, AML/KYC)
Preferred
- Experience in fraud detection or financial risk systems
- Performance testing tools (JMeter, LoadRunner)
For more details reach at [email protected].
About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing healthcare staffing firms in the US providing Medical, Clinical and Non-Clinical services to numerous hospitals. We offer the most competitive pay for every position we cater. We understand this is a partnership. You will not be blindsided, and your salary will be discussed upfront.
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Foire aux questions
This role is based in Burnaby, BC.
The role involves developing automated test frameworks for web, API, and backend systems and performing regression, integration, and performance testing in an Agile environment.
Candidates should have experience with automation tools (Selenium, Cypress, Playwright), API testing (Postman, RestAssured), and programming (Java / Python / JS).
Yes, the role requires understanding BFSI workflows including payments and AML/KYC, and ensuring compliance with regulatory and audit standards.
The role validates financial transactions, data accuracy, and compliance workflows.
Experience in fraud detection or financial risk systems and familiarity with performance testing tools (JMeter, LoadRunner) are preferred.
