NextHealth Technologies is a high growth, venture-backed company located in downtown Denver, Colorado. Our advanced analytics platform enables healthcare companies to make data-driven decisions that save money and optimize outcomes. We’re a tight-knit team of doers that thrive in a fast-paced and agile environment. We nerd-out on our AI and machine learning technology platform and our approach to big data analytics.

Our team members enjoy:

• Competitive salary plus 10% annual bonus potential
• Stock options
• Unlimited PTO
• Medical benefits starting at $0 + HSA gift up to $350 every month
• $100 monthly commuter benefit
• Free onsite gym

NHT is seeking a QA Lead Engineer who wants to solve interesting, meaningful problems with an intelligent, hard-working team! This position will require creativity, innovation, and problem-solving skills to make sure our advanced SaaS analytics platform is of high quality through application of high QA standards.

Responsibilities

• Implement functional testing for application, APIs, data ingestion, data processing, and analytical algorithms
• Automate created functional tests to run in a CICD fashion including regression verifications
• Evaluate various testing frameworks and decide on the most appropriate one
• Configure testing frameworks for multiple environments including dev, QA, and prod
• Write automated crossbrowser, cross-device visual UI tests for our browser and mobile based front-end applications
• Build and lead an agile QA onshore team while managing a small offshore team

Requirements

• Bachelor’s degree in computer science, engineering, applied statistics or a related technical field. Master’s degree a plus.
• Experience with Protractor, Nightwatch, Cypress, or Selenium for testing web applications and APIs (or other Web application testing frameworks)
• 3+ years of experience developing automated testing and building testing frameworks
• Strong written and verbal communication skills
• Experience with functional testing of analytical algorithms, data ingestion, data processing, and transformation
• Experience in the healthcare industry and understating of claims data sets are preferred