Swish Analytics

QA Staff Engineer

San Francisco, California, United States

$120,000 – $170,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Betting, Fantasy SportsIndustries

Position Overview

  • Location Type: 100% Remote
  • Employment Type: Full-time
  • Salary: $120,000 - $170,000

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.

Requirements

  • 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.

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.

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.

Company Information

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion,

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.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.
Consumer privacy concerns may impact Swish Analytics' data collection practices.
Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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