[Hiring] Senior Software Quality Engineer @WISEcode

Role Description

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
• 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.

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
• Apply 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.

Qualifications

• 5–10+ years of professional software engineering or software quality engineering experience
• 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

Requirements

• Experience with Blazor-specific testing approaches and tooling (nice to have)
• Strong coding ability in C# (nice to have)
• Experience with performance or load testing (nice to have)
• Experience validating AI-assisted or ML-integrated workflows (nice to have)
• Experience with observability tooling and production diagnostics (nice to have)
• Familiarity with containerized environments and cloud infrastructure (nice to have)
• Experience building internal developer tooling or quality platforms (nice to have)
• Experience with large-scale enterprise applications or data-intensive systems (nice to have)
• Exposure to modern AI-assisted engineering workflows (nice to have)
• Strong hands-on experience testing ASP.NET applications (nice to have)
• Experience testing ASP.NET Blazor applications or other highly stateful SPA frameworks (nice to have)

Benefits

• Help define the quality foundation for one of the most ambitious food intelligence and AI platforms in the world
• Build systems that directly impact trust, correctness, and platform reliability
• Work closely with senior technical leadership and Principal Engineers
• Operate in an engineering culture that values systems thinking, ownership, and technical depth
• Competitive compensation, benefits, and opportunities for rapid growth and impact
• Solve meaningful technical problems at the intersection of AI, data, computation, and human health