Quality Assurance Analyst, AI Delivery
CrestaSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, FinanceIndustries
Requirements
- 3+ years of hands-on experience in manual QA testing
- Strong understanding of QA methodologies, testing types, and defect management lifecycle
- Proven experience testing payment gateways or similar financial transaction systems
- Experience writing and maintaining test documentation (test cases, test plans, reports)
- Proficiency with bug tracking and test management tools (e.g., JIRA, TestRail, Zephyr)
- Solid understanding of SDLC, STLC, and Agile/Scrum environments
- Strong analytical, problem-solving, and communication skills
- Exposure to automation testing concepts and collaboration with automation teams (good to have)
- Experience with API testing tools (like Postman) (good to have)
- Familiarity with production environment validation and data migration testing (good to have)
Responsibilities
- Conduct thorough manual testing of the BMS component, including functional, regression, integration, and user acceptance testing (UAT)
- Create, maintain, and execute detailed test cases, test plans, and test scenarios based on business and technical requirements
- Identify, document, and track defects using standard bug tracking tools; work closely with developers to ensure timely resolution
- Perform end-to-end testing of payment gateway integrations and related financial workflows
- Validate data accuracy, migration, and environment setup during production migration and release cycles
- Collaborate with the automation QA engineer to align on test coverage and identify opportunities for automation
- Participate in release readiness reviews, QA sign-offs, and post-deployment validation
- Ensure testing best practices and QA processes are followed throughout the SDLC
Skills
Manual Testing
Functional Testing
Regression Testing
Integration Testing
UAT
Test Cases
Test Plans
Defect Tracking
Bug Tracking Tools
Payment Gateways
Financial Workflows
Data Validation
Production Migration
SDLC
QA Methodologies
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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