USA remote
QA Engineer - Clearance Required
About this role
About Us Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation’s most pressing problems.
ABOUT DEFCON AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. In today’s dynamically changing world, DEFCON AI’s technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
About the Role As QA Engineer you will own quality for an AI-enabled decision-support system: the test plan, the automated coverage, and the evidence that what was delivered is what was specified. Product defines the acceptance criteria. You build the executable version of it , and you hold engineering, platform, and everyone else delivering the work accountable to it. This role sits on the product side of the organization, not the engineering side.
You will report through the Product Lead and take direction from product, while working with engineering and platform every day. A tester embedded in engineering tends to verify what was built, because the implementation is what they see. This role verifies what was specified. A test suite written from the code will pass while still missing what the customer asked for. That reporting line does not lower the engineering bar.
You will write code and build real automation rather than managing test cases, and you will need enough fluency in the application code to test it well. As the first dedicated quality engineering hire you are establishing the approach rather than inheriting one, so we want someone with a clear point of view on how testing should work. We build with current tooling and expect the same, including AI assistance in our own engineering practice.