Position Summary
This position is hybrid with a 3 day a week in-office (Lehi, UT) requirement.
As a Software Quality Engineer at LifeVantage, 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, DevOps, 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 DevOps, 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, TypeScript, 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 DevOps 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 evolving frameworks that support fast, reliable testing across multiple products, platforms, and teams
- Excellent communication skills with the ability to explain technical concepts to diverse audiences
- Self-motivated, analytical, & creative problem solver
- Strong written, verbal, & interpersonal communication skills
- Strong knowledge of automation architecture, testability, coding standards, reusable test components, test data strategy, and techniques for preventing brittle or flaky automation
- Mobile application testing experience across Android & iOS platforms
- Ability to work independently & collaboratively in a fast-paced environment
- Adaptability to change priorities & business needs
- Demonstrated curiosity and a track record of evaluating, prototyping, and adopting emerging QA, automation, and AI technologies that measurably improve quality, speed, or team productivity
- Exposure to direct-selling, network marketing, subscription commerce, or multi-level marketing industries
What You'll Do
- Partner with Engineering, Product, Architecture, DevOps, and business teams to make quality an engineering responsibility from design through production
- Create risk-based quality strategies that emphasize automated coverage, exploratory testing, and concise living documentation rather than documentation for its own sake
- Improve testability by advancing test environments, synthetic and reusable test data, service virtualization or mocking where appropriate, and modern QA tooling
- Design, code, and maintain automated testing solutions across web, mobile, API, integration, and data layers, with automation executed continuously through CI/CD
- Establish scalable automation standards, quality gates, dashboards, and metrics that provide actionable insight into release risk, automation effectiveness, and engineering productivity
- Use automation, telemetry, logs, and AI assisted analysis to identify defects quickly, improve root cause insight, and partner with Engineering through resolution and prevention
- Develop intelligent test scenarios using risk, production usage, system architecture, and data to prioritize the highest value functional and nonfunctional coverage
- Help define objective release readiness criteria and automate quality signals so teams can make faster, evidence-based release decisions
- Engineer automated end to end and integration coverage for Shopify based commerce experiences, including checkout, payments, promotions, subscriptions, customer accounts, and third-party integrations, while minimizing slow and brittle end to end tests
- Uphold company, legal, security, & compliance standards
- Continuously identify opportunities to replace repetitive manual QA work with automation, AI, improved testability, or better engineering practices, and help the broader QA team adopt those capabilities
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.