Senior Software Quality Engineer – AI Automation Tester

    ~$84,000 - $156,000Market Estimate
    United States
    Full-Time
    Senior (7+ yrs)
    Engineering & Development
    Posted on August 27, 2026
    JOIN THE MOVEMENT FOR HEALTH EMPOWERMENT AT WISEcode

    WISEcode is on a mission to transform how people understand, choose, and enjoy the foods they eat. We are not building another static health app. We are pioneering an intelligent, interactive experience that empowers families with clarity, confidence, and curiosity around
    everyday decisions.

    THE OPPORTUNITY

    We are hiring a Senior Software Quality Engineer to architect and build the automated QA framework for the WISEintelligence platform.

    This is not a traditional manual QA role.

    We are looking for an engineering-minded quality leader who thinks systematically about correctness, regression prevention, observability, deterministic behavior, and long-term platform reliability. You will help establish the technical and cultural foundation for how quality engineering operates at WISEcode.

    The WISEintelligence platform spans:

    • Rich ASP.NET Blazor applications
    • Deep domain-driven business logic
    • AI-assisted workflows
    • Large-scale Postgres-backed system and analytical databases like
    DuckDb/Motherduck.
    • Complex data transformations and computation pipelines
    • Highly dynamic and stateful user experiences

    This role requires someone who enjoys understanding sophisticated systems deeply and building durable automation around them.

    You will work closely with engineering leadership, product teams, and Principal Engineers to create a scalable automated testing strategy that evolves alongside the platform.
    About the role
    As Senior Software Quality Engineer, you will own the design and implementation of WISEcode’s automated quality engineering ecosystem.

    You will:

    • Build and evolve automated testing frameworks for ASP.NET
    • Applying AI-assisted tooling and automation to improve engineering productivity and
    testing coverage
    • Develop reliable end-to-end UI automation for highly interactive workflows
    • Create API, integration, and regression testing infrastructure
    • Improve confidence in releases through intelligent automation and observability
    Partner closely with engineers to ensure testability is designed into systems early
    • Help establish quality standards, patterns, and engineering discipline across teams
    This role requires someone who can move fluidly between:
    • UI automation
    • Backend/API testing
    • Database validation
    • CI/CD integration
    • Performance and reliability thinking
    • Test architecture
    • Developer tooling

    You should be comfortable reasoning across the entire application stack, not just isolated test scripts.
    What You'll Work On
  1. Designing and implementing AI-augmented UI testing frameworks for ASP.NET, using
    LLM-assisted test generation to accelerate coverage
  2. Building reliable end-to-end testing infrastructure with Playwright, Selenium, or
    equivalent frameworks, enhanced by AI-driven test authoring and self-healing selectors
  3. Developing API and integration test suites for ASP.NET services, leveraging AI tooling to
    generate edge cases and flag coverage gaps
  4. Creating reusable testing abstractions and patterns that scale across teams, designed to
    be extended by AI copilots as well as engineers
  5. Improving release confidence through regression automation, validation pipelines, and AI-assisted anomaly detection
  6. Building automated validation around complex nutrition and food intelligence computations, including testing strategies for AI/ML-driven outputs
  7. Partnering with engineers to improve application testability and observability, using AI
    tools to surface blind spots
  8. Integrating automated testing into CI/CD workflows, with AI-assisted triage of failures
    and flaky tests
  9. Helping define quality metrics, failure visibility, and release readiness standards,
    informed by AI-generated insights from test telemetry
  10. Investigating intermittent failures, race conditions, state management issues, and environment inconsistencies, using AI-assisted root-cause analysis
  11. Contributing to performance, reliability, and scalability testing strategies, incorporating AI-based load and behavior modeling
  12. Applying AI-assisted tooling and automation broadly to improve engineering productivity, testing coverage, and speed of iteration
  13. What Success Looks like
  14. Within the first several months, you are:
  15. Shipping reliable, AI-augmented automated tests into production CI/CD workflows
  16. Reducing manual regression testing significantly through AI-assisted test generation and maintenance
  17. Building confidence in release quality across engineering teams via AI-informed quality signals
  18. Establishing scalable testing patterns — built with and for AI tooling — that other engineers can extend
  19. Helping engineers think proactively about quality rather than reactively about bugs, supported by AI-driven early warning systems
  20. Creating visibility into system health, regressions, and application reliability through AI- powered dashboards and insights
  21. Operating as a force multiplier across the engineering organization by embedding AI leverage into everyday testing workflows.
  22. Over time, success means helping WISEcode build an engineering culture where quality is engineered into the system itself - not inspected afterward.
    AI Skills and Mindset
    WISEcode is an AI-native company. Quality engineering is expected to evolve alongside AI-assisted development and intelligent systems.

    You will:
    • Use AI-assisted development tools to accelerate testing and automation
    • Help evaluate reliability and failure modes in AI-assisted workflows
    • Build validation strategies around probabilistic and deterministic systems
    • Think critically about explainability, reproducibility, and trust in AI-integrated features
    • Leverage AI to improve test generation, coverage analysis, and debugging workflows

    We are not looking for someone who treats AI as novelty. We are looking for someone who treats it as infrastructure.
    Required Qualifications
  23. 5–10+ years of professional software engineering or software quality engineering
    experience
  24. Experience building automated UI testing frameworks
  25. Experience with Playwright, Selenium, Cypress, or equivalent automation tooling
  26. Experience testing APIs and distributed application workflows
  27. Strong understanding of CI/CD pipelines and automated deployment validation
  28. Experience working with relational databases, ideally Postgres
  29. Ability to reason across UI, API, database, and infrastructure boundaries
  30. Strong debugging and systems-thinking skills
  31. Ability to work independently in ambiguous, fast-moving startup environments
  32. Strong engineering judgment and attention to detail
  33. Nice to have
  34. Experience with Blazor-specific testing approaches and tooling
  35. Strong coding ability in C#
  36. Experience with performance or load testing
  37. Experience validating AI-assisted or ML-integrated workflows
  38. Experience with observability tooling and production diagnostics
  39. Familiarity with containerized environments and cloud infrastructure
  40. Experience building internal developer tooling or quality platforms
  41. Experience with large-scale enterprise applications or data-intensive systems
  42. Exposure to modern AI-assisted engineering workflows
  43. Strong hands-on experience testing ASP.NET applications
  44. Experience testing ASP.NET Blazor applications or other highly stateful SPA frameworks
  45. Why join WISEcode
  46. Help define the quality foundation for one of the most ambitious food intelligence and AI platforms in the world
  47. Build systems that directly impact trust, correctness, and platform reliability
  48. Work closely with senior technical leadership and Principal Engineers
  49. Operate in an engineering culture that values systems thinking, ownership, and technical depth
  50. Competitive compensation, benefits, and opportunities for rapid growth and impact
  51. Solve meaningful technical problems at the intersection of AI, data, computation, and human health
  52. Company:  WISEcode

    Develops AI-powered food and nutrition data tools, including a consumer app and ingredient database, to enable personalized nutrition insights.
    Remote-First Company
    51-200 employees
    Food & Nutrition
    HQ: United States