Description
We are seeking a Senior Quality Engineer to join our CorpTech Platform team. As a Senior Quality Engineer, you will act as the quality and reliability lead within a small, senior AI development pod focused on solving novel, high-impact business and engineering problems. You will design and implement test strategies, validation approaches, and release readiness criteria for AI-enabled software, automation, and agentic workflows. You will partner closely with software and AI engineers to identify failure modes early across code, prompts, models, integrations, infrastructure, and user workflows. You will build confidence in fast-moving solutions through automated testing, observability, instrumentation, environment design, and operational safeguards. You will help define practical standards for reliability, resiliency, debugging, and production operations in an AI-first development model. You will contribute directly in code, infrastructure, and tooling where needed to improve delivery confidence, developer feedback loops, and production stability. You will support launch readiness, production issue response, root cause analysis, and continuous improvement for front-facing systems delivered by the pod. You will evangelize strong engineering discipline in areas such as quality assurance, release engineering, infrastructure hygiene, and incident prevention without sacrificing speed.
The ideal candidate will have 5+ years of experience in software engineering, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role in a fast-paced environment. They will have demonstrated experience building or operating reliable production software systems, including ownership of testing, observability, deployment confidence, and operational readiness. They will have strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure. They will have experience working with frontier AI tooling, AI coding assistants, LLM-enabled applications, or agentic systems, including awareness of the unique quality and reliability challenges these systems introduce. They will have the ability to move between hands-on implementation and systems-level quality strategy, with sound judgment on where rigor is required versus where speed is appropriate. They will have strong debugging, root cause analysis, and incident response instincts, with a bias toward preventing classes of failures rather than repeatedly reacting to them. They will have excellent written and verbal communication skills, with the ability to influence senior engineers and cross-functional stakeholders on quality and reliability trade-offs. They will have a degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. They will be a U.S. Person, as this position needs to access export-controlled data.
Preferred qualifications include experience supporting AI-first or AI-accelerated software development teams, including designing quality controls around non-deterministic system behavior. They will have experience with automated testing strategies spanning unit, integration, end-to-end, performance, and reliability testing for complex software products. They will have experience with infrastructure as code, cloud platforms, observability stacks, release engineering, and production operations. They will have experience in hyper-growth startup-like environments, with demonstrated success balancing speed, ambiguity, and engineering rigor. They will be eligible to obtain and maintain a U.S. Secret security clearance.