
Pavago

WISEcode
·13 days agoWISEcode
·13 days agoLocation
remote, United States
Commitment
Full Time
Level
Senior (5+ years)
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.
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:
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:
This role requires someone who can move fluidly between:
You should be comfortable reasoning across the entire application stack, not just isolated test scripts.
Designing and implementing AI-augmented UI testing frameworks for ASP.NET, using LLM-assisted test generation to accelerate coverage.
Building reliable end-to-end testing infrastructure with Playwright, Selenium, or equivalent frameworks, enhanced by AI-driven test authoring and self-healing selectors.
Developing API and integration test suites for ASP.NET services, leveraging AI tooling to generate edge cases and flag coverage gaps.
Creating reusable testing abstractions and patterns that scale across teams, designed to be extended by AI copilots as well as engineers.
Improving release confidence through regression automation, validation pipelines, and AI-assisted anomaly detection.
Building automated validation around complex nutrition and food intelligence computations, including testing strategies for AI/ML-driven outputs.
Partnering with engineers to improve application testability and observability, using AI tools to surface blind spots.
Integrating automated testing into CI/CD workflows, with AI-assisted triage of failures and flaky tests.
Helping define quality metrics, failure visibility, and release readiness standards, informed by AI-generated insights from test telemetry.
Investigating intermittent failures, race conditions, state management issues, and environment inconsistencies, using AI-assisted root-cause analysis.
Contributing to performance, reliability, and scalability testing strategies, incorporating AI-based load and behavior modeling.
Applying AI-assisted tooling and automation broadly to improve engineering productivity, testing coverage, and speed of iteration.
Within the first several months, you are:
Over time, success means helping WISEcode build an engineering culture where quality is engineered into the system itself - not inspected afterward.
WISEcode is an AI-native company. Quality engineering is expected to evolve alongside AI-assisted development and intelligent systems.
You will:
We are not looking for someone who treats AI as novelty. We are looking for someone who treats it as infrastructure.
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.

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