Senior Software Quality Engineer - ASP.NET / Blazor Automation

WISEcode

About The Position

WISEcode is seeking an exceptional 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, and 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.

Requirements

5–10+ years of professional software engineering or software quality engineering experience
Strong hands-on experience testing ASP.NET applications
Experience testing ASP.NET Blazor applications or other highly stateful SPA frameworks
Strong coding ability in C#
Experience building automated UI testing frameworks
Experience with Playwright, Selenium, Cypress, or equivalent automation tooling
Experience testing APIs and distributed application workflows
Strong understanding of CI/CD pipelines and automated deployment validation
Experience working with relational databases, ideally Postgres
Ability to reason across UI, API, database, and infrastructure boundaries
Strong debugging and systems-thinking skills
Ability to work independently in ambiguous, fast-moving startup environments
Strong engineering judgment and attention to detail

Nice To Haves

Experience with Blazor-specific testing approaches and tooling
Experience with performance or load testing
Experience validating AI-assisted or ML-integrated workflows
Experience with observability tooling and production diagnostics
Familiarity with containerized environments and cloud infrastructure
Experience building internal developer tooling or quality platforms
Experience with large-scale enterprise applications or data-intensive systems
Exposure to modern AI-assisted engineering workflows

Responsibilities

Own the design and implementation of WISEcode’s automated quality engineering ecosystem.
Build and evolve automated testing frameworks for ASP.NET and Blazor applications.
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.
Design and implement automated UI testing frameworks for ASP.NET Blazor applications.
Build reliable end-to-end testing infrastructure using tools such as Playwright, Selenium, or equivalent modern frameworks.
Develop API and integration test suites for ASP.NET services.
Create reusable testing abstractions and patterns that scale across teams.
Improve release confidence through regression automation and validation pipelines.
Build automated validation around complex nutrition and food intelligence computations.
Partner with engineers to improve application testability and observability.
Integrate automated testing into CI/CD workflows and deployment pipelines.
Help define quality metrics, failure visibility, and release readiness standards.
Investigate intermittent failures, race conditions, state management issues, and environment inconsistencies.
Contribute to performance, reliability, and scalability testing strategies.
Apply AI-assisted tooling and automation to improve engineering productivity and testing coverage.
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.