QA Engineer
Shift5Salary not specified
- Full Time
- Junior (1 to 2 years)
$120,000 – $170,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Betting, Fantasy SportsIndustries
Requirements
Candidates must possess a Bachelor’s degree in Computer Science, Software Engineering, or a related field, along with 8+ years of experience in Quality Assurance, including at least 3 years in a leadership role. Strong experience with API testing tools such as Postman, RestAssured, or SoapUI, proficiency in test automation frameworks like Selenium, Cypress, or Playwright, and solid knowledge of programming languages like Go, Rust, JavaScript, or Python for test automation are required. Hands-on experience with performance testing tools like K6, JMeter or Gatling, familiarity with Agile methodologies and CI/CD environments, and experience with test management and defect tracking tools like Jira, TestRail, or similar are also necessary.
Responsibilities
The QA Staff Engineer will lead the QA team in designing, implementing, and executing test strategies for APIs and web applications, developing and maintaining automated test scripts for API and UI testing, establishing and enforcing best practices for software testing, collaborating with development teams to ensure comprehensive test coverage, performing functional, regression, integration, and performance testing, working with CI/CD pipelines to integrate automated testing, mentoring and coaching QA team members, analyzing test results, identifying trends, and providing recommendations to improve product quality, and staying updated on the latest testing tools, trends, and methodologies.
Skills
API testing tools (Postman, RestAssured, SoapUI)
Test automation frameworks (Selenium, Cypress, Playwright)
Programming languages (Go, Rust, JavaScript, Python)
Performance testing tools (K6, JMeter, Gatling)
Agile methodologies
CI/CD environment
Test management tools (Jira, TestRail)
Defect tracking
Problem-solving
Analytical skills
Communication skills
Leadership
Swish Analytics
Sports analytics and optimization tools provider
About Swish Analytics
Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.
Key Metrics
San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees