QA Engineer
Shift5Salary not specified
- Full Time
- Junior (1 to 2 years)
R$360,000 – R$455,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, AI & Machine LearningIndustries
Requirements
Candidates should possess at least 6 years of experience in QA or software engineering roles with a strong testing focus, ideally within high-growth startup environments, and 2+ years of formal management or team lead experience including mentoring QA engineers. They should have experience building a robust, scalable, and maintainable automated test framework for backend APIs and frontend applications, developing test plans, cases, and data strategies for complex features across distributed systems, and establishing and tracking quality KPIs such as defect density, regression rates, and test coverage.
Responsibilities
The QA Engineering Lead will own and evolve the QA function across Sardine’s products, including test framework, test automation, manual QA practices, and continuous integration; build a robust, scalable, and maintainable automated test framework; partner with engineers to shift testing left and embed quality into the dev lifecycle; partner with DevOps and Engineering to embed quality gates into CI/CD and release pipelines; promote a culture of quality and champion QA best practices across the organization; lead and mentor QA engineers while contributing hands-on to test development, and contribute technically to ensure products are robust, scalable, and reliable through close collaboration with Product, Sales, and Engineering.
Skills
Test Automation
Agile
Scrum
APIs
Frontend
CI/CD
Test Frameworks
Test Planning
Test Cases
Sardine
Fraud prevention and compliance platform
About Sardine
Sardine.ai focuses on fraud prevention and compliance for banks, retailers, and fintech companies. Its platform offers tools for risk scoring, transaction monitoring, and customer due diligence, helping clients detect fraud and prevent money laundering. What sets Sardine.ai apart is its ability to monitor customer interactions for fraud signals, using data from over 35 providers to generate accurate risk scores. The company's goal is to enhance security and compliance for financial institutions and retailers.
Key Metrics
San Francisco, CaliforniaHeadquarters
2020Year Founded
$73.5MTotal Funding
SERIES_BCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees