{"schemaVersion":"jobsearcher.job.v1","id":"b849bcda1a10dca194dbc574","url":"https://jobsearcher.com/jobs/b849bcda1a10dca194dbc574","canonicalUrl":"https://jobsearcher.com/jobs/b849bcda1a10dca194dbc574","title":"QA Software Engineer","description":"Company Overview\r\nSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.\r\nJob Description - This position is 100% Remote\r\nKey Responsibilities\r\n\r\n\r\nDesign, implement, and execute test strategies for APIs and web applications.\r\n\r\n\r\nDevelop and maintain automated test scripts for API and UI testing.\r\n\r\n\r\nEstablish and enforce best practices for software testing, including test planning, execution, and defect tracking.\r\n\r\n\r\nCollaborate with development teams to ensure comprehensive test coverage and early detection of defects.\r\n\r\n\r\nPerform functional, regression, integration, and performance testing.\r\n\r\n\r\nWork with CI/CD pipelines to integrate automated testing into the development workflow.\r\n\r\n\r\nAnalyze test results, identify trends, and provide recommendations to improve product quality.\r\n\r\n\r\nStay updated on the latest testing tools, trends, and methodologies to enhance QA processes.\r\n\r\n\r\nQualifications & Experience:\r\n\r\n\r\nBachelor's degree in Computer Science, Software Engineering, or a related field.\r\n\r\n\r\n4+ years of experience in Quality Assurance.\r\n\r\n\r\nStrong experience with API testing tools such as Postman, RestAssured, or SoapUI.\r\n\r\n\r\nProficiency in test automation frameworks like Selenium, Cypress, PyTest, or Playwright.\r\n\r\n\r\nSolid knowledge of programming languages such as Go, Rust, JavaScript, or Python for test automation.\r\n\r\n\r\nHands-on experience with performance testing tools like K6, JMeter or Gatling.\r\n\r\n\r\nFamiliarity with Agile methodologies and working in a CI/CD environment.\r\n\r\n\r\nExperience with test management and defect tracking tools like Jira, Allure, or similar.\r\n\r\n\r\nExcellent problem-solving, analytical, and communication skills.\r\n\r\n\r\nPreferred Qualifications\r\n\r\n\r\nExperience with security testing and best practices.\r\n\r\n\r\nKnowledge of cloud platforms such as AWS, Azure, or Google Cloud.\r\n\r\n\r\nUnderstanding of microservices architecture and containerization (Docker, Kubernetes).\r\n\r\n\r\nExperience with contract testing using tools like Pact.\r\n\r\n\r\nBase salary: $130,000 - $170,000\r\nSwish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.\r\nDepartment Software Engineering Locations San Francisco, CA - Remote Remote status Fully Remote\r\nAbout Swish Analytics\r\nSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We deliver odds origination, risk management & trading software for the core four U.S. sports.\r\nFounded in 2014\r\nCoworkers 200+\r\nTurnover N/A","company":"Swish Analytics","rawCompany":"swish analytics","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-06T05:17:59.360Z","occupations":[{"code":"15-1253.00","title":"Software Quality Assurance Analysts and Testers","slug":"software-quality-assurance-analysts-and-testers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2112.02","title":"Validation Engineers","slug":"validation-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"QA Software Engineer","description":"Company Overview\r\nSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.\r\nJob Description - This position is 100% Remote\r\nKey Responsibilities\r\n\r\n\r\nDesign, implement, and execute test strategies for APIs and web applications.\r\n\r\n\r\nDevelop and maintain automated test scripts for API and UI testing.\r\n\r\n\r\nEstablish and enforce best practices for software testing, including test planning, execution, and defect tracking.\r\n\r\n\r\nCollaborate with development teams to ensure comprehensive test coverage and early detection of defects.\r\n\r\n\r\nPerform functional, regression, integration, and performance testing.\r\n\r\n\r\nWork with CI/CD pipelines to integrate automated testing into the development workflow.\r\n\r\n\r\nAnalyze test results, identify trends, and provide recommendations to improve product quality.\r\n\r\n\r\nStay updated on the latest testing tools, trends, and methodologies to enhance QA processes.\r\n\r\n\r\nQualifications & Experience:\r\n\r\n\r\nBachelor's degree in Computer Science, Software Engineering, or a related field.\r\n\r\n\r\n4+ years of experience in Quality Assurance.\r\n\r\n\r\nStrong experience with API testing tools such as Postman, RestAssured, or SoapUI.\r\n\r\n\r\nProficiency in test automation frameworks like Selenium, Cypress, PyTest, or Playwright.\r\n\r\n\r\nSolid knowledge of programming languages such as Go, Rust, JavaScript, or Python for test automation.\r\n\r\n\r\nHands-on experience with performance testing tools like K6, JMeter or Gatling.\r\n\r\n\r\nFamiliarity with Agile methodologies and working in a CI/CD environment.\r\n\r\n\r\nExperience with test management and defect tracking tools like Jira, Allure, or similar.\r\n\r\n\r\nExcellent problem-solving, analytical, and communication skills.\r\n\r\n\r\nPreferred Qualifications\r\n\r\n\r\nExperience with security testing and best practices.\r\n\r\n\r\nKnowledge of cloud platforms such as AWS, Azure, or Google Cloud.\r\n\r\n\r\nUnderstanding of microservices architecture and containerization (Docker, Kubernetes).\r\n\r\n\r\nExperience with contract testing using tools like Pact.\r\n\r\n\r\nBase salary: $130,000 - $170,000\r\nSwish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.\r\nDepartment Software Engineering Locations San Francisco, CA - Remote Remote status Fully Remote\r\nAbout Swish Analytics\r\nSwish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We deliver odds origination, risk management & trading software for the core four U.S. sports.\r\nFounded in 2014\r\nCoworkers 200+\r\nTurnover N/A","datePosted":"2026-05-06T05:17:59.360Z","dateModified":"2026-05-06T05:17:59.360Z","hiringOrganization":{"@type":"Organization","name":"Swish Analytics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b849bcda1a10dca194dbc574"},"url":"https://jobsearcher.com/jobs/b849bcda1a10dca194dbc574"}}