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Software QA Engineer; SDET

Job in Lehi, Utah County, Utah, 84043, USA
Listing for: LifeVantage Corporation
Full Time position
Listed on 2026-08-26
Job specializations:
  • Software Development
    Software Testing, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Software QA Engineer (SDET)

Position Summary

As a Software Quality Engineer at Life Vantage, you will help redefine how quality engineering is practiced across our technology organization. This role is for a hands‑on engineer who uses automation, AI, data, and modern engineering practices to dramatically increase the speed, coverage, and intelligence of our quality processes. Working within cross‑functional product teams, you will partner closely with Engineering, Product, Architecture, Dev Ops, and business stakeholders to build quality into the software development lifecycle, reduce reliance on repetitive manual testing, accelerate feedback, and continuously improve customer and consultant experiences.

You will be expected to challenge traditional QA approaches, evaluate emerging technologies, and help move the organization toward an AI enabled, automation first quality engineering model.

Core Qualifications
  • 5+ years of software quality engineering, SDET, or test automation experience in modern Agile product development environments
  • Strong software engineering mindset with demonstrated experience operating as an SDET, quality engineer, or automation engineer who can design and build production grade test solutions
  • Strong understanding of modern quality engineering practices, including shift left testing, risk‑based testing, test pyramid strategy, continuous testing, and quality ownership across the delivery lifecycle
  • Hands‑on experience integrating quality workflows with modern engineering platforms such as Jira, Azure Dev Ops, Bitbucket, test management platforms, and CI/CD tooling
  • Demonstrated expertise architecting, coding, and evolving scalable automated test frameworks with a focus on maintainability, reliability, speed, reuse, and measurable reduction of manual regression effort
  • Strong coding proficiency in at least one modern language such as JavaScript, Type Script, Python, Java, or C#, with the ability to review code, use source control, and contribute automation as an engineering asset
  • Hands‑on experience with modern web and mobile automation frameworks such as Playwright, Cypress, Appium, Selenium, Mabl, or equivalent, including experience selecting the right tool for the problem
  • Strong API and integration testing experience, including REST APIs, automated service level validation, contract testing concepts, and testing of asynchronous or event driven integrations
  • Experience testing third‑party integrations & interconnected systems
  • Experience mentoring engineers, raising automation capability across a team, and influencing developers and product teams to share ownership for quality
  • Strong analytical and systems thinking skills with the ability to identify the highest risk areas, prioritize automation investments, and solve complex quality problems
  • Metrics driven approach to quality using measures such as automation coverage, escaped defects, defect detection stage, test execution time, flaky test rate, failure patterns, release confidence, and manual effort eliminated
  • Deep understanding of functional, integration, regression, system, end to end, performance, accessibility, and resilience testing, with sound judgment about where each type creates the most value
  • Hands‑on experience embedding automated tests and quality gates into CI/CD pipelines, with an understanding of deployment strategies, environment management, observability, and modern Dev Ops practices
  • Experience testing e‑commerce applications, including Shopify storefronts, checkout flows, payment integrations, promotions, subscriptions, & customer account functionality
  • Demonstrated hands‑on use of generative AI or AI assisted engineering tools to improve test design, generate and maintain automation code, create synthetic test data, analyze failures, identify coverage gaps, accelerate root cause analysis, and improve quality reporting
  • Experience building or optimizing AI enabled quality workflows, including practical understanding of where AI can safely automate work, where human validation remains important, and how to measure productivity and quality gains from AI adoption
Skills & Differentiators
  • Experience defining an enterprise quality automation strategy and…
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