QA Staff Engineer San Francisco, CA (remote)

Swishanalytics; San Francisco (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative sports analytics startup is seeking a Quality Assurance Lead to spearhead testing initiatives for cutting-edge predictive data products. In this fully remote role, you will lead a dynamic QA team, develop automated testing strategies, and ensure the highest quality standards for APIs and web applications. If you thrive in a fast-paced, evolving environment and possess a passion for excellence in software testing, this opportunity is perfect for you. Join a company that values creativity and technical expertise as you help shape the future of sports analytics.

Qualifications

• 8+ years in Quality Assurance with 3+ years in leadership.
• Strong experience with API testing tools and automation frameworks.

Responsibilities

• Lead QA team in designing and executing test strategies for APIs.
• Mentor team members and analyze test results to improve quality.

Skills

API Testing

Test Automation

Leadership

Problem-Solving

Analytical Skills

Communication Skills

Education

Bachelor's degree in Computer Science

Tools

Postman

RestAssured

SoapUI

Selenium

Cypress

Playwright

K6

JMeter

Gatling

Jira

TestRail

Docker

Kubernetes

Job description

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:

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

Qualifications & Experience:

1. Bachelor’s degree in Computer Science, Software Engineering, or a related field.
2. 8+ years of experience in Quality Assurance, with at least 3 years in a leadership role.
3. Strong experience with API testing tools such as Postman, RestAssured, or SoapUI.
4. Proficiency in test automation frameworks like Selenium, Cypress, or Playwright.
5. Hands-on experience with performance testing tools like K6, JMeter or Gatling.
6. Familiarity with Agile methodologies and working in a CI/CD environment.
7. Experience with test management and defect tracking tools like Jira, TestRail, or similar.
8. Excellent problem-solving, analytical, and communication skills.
9. Strong leadership abilities with a proactive and detail-oriented approach.

Preferred Qualifications:

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

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.