QA Staff Engineer

Posted 5 Days Ago
Hiring Remotely in San Francisco, CA
Remote
120K-170K
Senior level
Sports
The Role
Lead the QA team in testing and automation, implement test strategies for APIs, mentor members, and ensure quality through collaboration and best practices.
Summary Generated by Built In

Company Overview

Swish 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.

Job Description - This position is 100% Remote

Key Responsibilities:

  • Lead the QA team in designing, implementing, and executing test strategies for APIs and web applications.
  • Develop and maintain automated test scripts for API and UI testing.
  • Establish and enforce best practices for software testing, including test planning, execution, and defect tracking.
  • Collaborate with development teams to ensure comprehensive test coverage and early detection of defects.
  • Perform functional, regression, integration, and performance testing.
  • Work with CI/CD pipelines to integrate automated testing into the development workflow.
  • Mentor and coach QA team members, fostering a culture of continuous learning and improvement.
  • Analyze test results, identify trends, and provide recommendations to improve product quality.
  • Stay updated on the latest testing tools, trends, and methodologies to enhance QA processes.

Qualifications & Experience:

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 8+ years of experience in Quality Assurance, with 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.
  • Solid knowledge of programming languages such as Go, Rust, JavaScript, or Python for test automation.
  • Hands-on experience with performance testing tools like K6, JMeter or Gatling.
  • Familiarity with Agile methodologies and working in a CI/CD environment.
  • Experience with test management and defect tracking tools like Jira, TestRail, or similar.
  • Excellent problem-solving, analytical, and communication skills.
  • Strong leadership abilities with a proactive and detail-oriented approach.

Preferred Qualifications:

  • Experience with security testing and best practices.
  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
  • Understanding of microservices architecture and containerization (Docker, Kubernetes).
  • Experience with contract testing using tools like Pact.

Base salary: $120,000 - 170,000

Swish 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.

Top Skills

AWS
Azure
Cypress
Docker
Gatling
Go
GCP
JavaScript
JIRA
Jmeter
K6
Kubernetes
Pact
Playwright
Postman
Python
Restassured
Rust
Selenium
Soapui
Testrail
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The Company
HQ: San Francisco, CA
47 Employees
On-site Workplace
Year Founded: 2014

What We Do

Swish 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.

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