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About the roleAs 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.NETApplying AI-assisted tooling and automation to improve engineering productivity and testing coverageDevelop reliable end-to-end UI automation for highly interactive workflowsCreate API, integration, and regression testing infrastructureImprove confidence in releases through intelligent automation and observabilityPartner closely with engineers to ensure testability is designed into systems earlyHelp establish quality standards, patterns, and engineering discipline across teamsThis 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 OnDesigning and implementing AI-augmented UI testing frameworks for ASP.NET, using LLM-assisted test generation to accelerate coverageBuilding reliable end-to-end testing infrastructure with Playwright, Selenium, or equivalent frameworks, enhanced by AI-driven test authoring and self-healing selectorsDeveloping API and integration test suites for ASP.NET services, leveraging AI tooling to generate edge cases and flag coverage gapsCreating reusable testing abstractions and patterns that scale across teams, designed to be extended by AI copilots as well as engineersImproving release confidence through regression automation, validation pipelines, and AI-assisted anomaly detectionBuilding automated validation around complex nutrition and food intelligence computations, including testing strategies for AI/ML-driven outputsPartnering with engineers to improve application testability and observability, using AI tools to surface blind spotsIntegrating automated testing into CI/CD workflows, with AI-assisted triage of failures and flaky testsHelping define quality metrics, failure visibility, and release readiness standards, informed by AI-generated insights from test telemetryInvestigating intermittent failures, race conditions, state management issues, and environment inconsistencies, using AI-assisted root-cause analysisContributing to performance, reliability, and scalability testing strategies, incorporating AI-based load and behavior modelingApplying AI-assisted tooling and automation broadly to improve engineering productivity, testing coverage, and speed of iterationWhat Success Looks likeWithin the first several months, you are:Shipping reliable, AI-augmented automated tests into production CI/CD workflowsReducing manual regression testing significantly through AI-assisted test generation and maintenanceBuilding confidence in release quality across engineering teams via AI-informed quality signalsEstablishing scalable testing patterns — built with and for AI tooling — that other engineers can extendHelping engineers think proactively about quality rather than reactively about bugs, supported by AI-driven early warning systemsCreating visibility into system health, regressions, and application reliability through AI-powered dashboards and insightsOperating as a force multiplier across the engineering organization by embedding AI leverage into everyday testing workflows.Over time, success means helping WISEcode build an engineering culture where quality is engineered into the system itself - not inspected afterward.AI Skills and MindsetWISEcode 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 automationHelp evaluate reliability and failure modes in AI-assisted workflowsBuild validation strategies around probabilistic and deterministic systemsThink critically about explainability, reproducibility, and trust in AI-integrated featuresLeverage AI to improve test generation, coverage analysis, and debugging workflowsWe are not looking for someone who treats AI as novelty. We are looking for someone who treats it as infrastructure.Required Qualifications5–10+ years of professional software engineering or software quality engineering experienceExperience building automated UI testing frameworksExperience with Playwright, Selenium, Cypress, or equivalent automation toolingExperience testing APIs and distributed application workflowsStrong understanding of CI/CD pipelines and automated deployment validationExperience working with relational databases, ideally PostgresAbility to reason across UI, API, database, and infrastructure boundariesStrong debugging and systems-thinking skillsAbility to work independently in ambiguous, fast-moving startup environmentsStrong engineering judgment and attention to detailNice to haveExperience with Blazor-specific testing approaches and toolingStrong coding ability in C#Experience with performance or load testingExperience validating AI-assisted or ML-integrated workflowsExperience with observability tooling and production diagnosticsFamiliarity with containerized environments and cloud infrastructureExperience building internal developer tooling or quality platformsExperience with large-scale enterprise applications or data-intensive systemsExposure to modern AI-assisted engineering workflowsStrong hands-on experience testing ASP.NET applicationsExperience testing ASP.NET Blazor applications or other highly stateful SPA frameworksWhy join WISEcodeHelp define the quality foundation for one of the most ambitious food intelligence and AI platforms in the worldBuild systems that directly impact trust, correctness, and platform reliabilityWork closely with senior technical leadership and Principal EngineersOperate in an engineering culture that values systems thinking, ownership, and technical depthCompetitive compensation, benefits, and opportunities for rapid growth and impactSolve meaningful technical problems at the intersection of AI, data, computation, and human healthWISEcode 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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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