Senior Quality Engineer, Applied AI

Responsibilities

• Design, build, and own automated system integration and end-to-end tests across multiple systems and product lines.
• Simulate production workloads and data and detect drift between test assumptions and production behavior.
• Use AI tooling to author, maintain, and triage tests and enable other teams to verify quality.
• Debug distributed failures across services, networks, and vendor boundaries and identify root causes.
• Set test strategy, release readiness criteria, and quality gates for the release train.
• Build observability, instrumentation, and test-environment strategies that produce actionable signals.
• Partner with engineering and business teams to move quality upstream into design and acceptance criteria.
• Contribute code, infrastructure, and tooling to improve developer feedback loops, test reliability, and production stability.
• Support launch readiness, production issue response, root cause analysis, and post-incident follow-through.
• Set technical testing standards through reviews, pairing, and hands-on example.

Requirements

• 8+ years of experience in software engineering, software development engineering in test, site reliability engineering, quality engineering, infrastructure engineering, or a closely related role.
• Demonstrated experience building and operating automated integration or end-to-end test suites for production systems, including environments, test data, and CI execution.
• Strong fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or platform infrastructure.
• Experience debugging failures across system boundaries and performing root cause analysis and incident response.
• Experience with frontier AI tooling, AI coding assistants, or agentic systems and their quality and reliability challenges.
• Ability to combine hands-on implementation with systems-level quality strategy.
• Excellent written and verbal communication skills and the ability to influence technical and business stakeholders.
• Degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
• U.S. Person status is required to access export-controlled data.
• Preferred: experience with ERP, MES, WMS, PLM, or CRM workflows; production-like test data and load generation; Playwright or similar automation frameworks; AI-first engineering quality controls; infrastructure as code; cloud platforms; observability; release engineering; production operations; and hyper-growth startup environments.
• Preferred: eligible to obtain and maintain a U.S. Secret security clearance.

Benefits

• Comprehensive and competitive benefits available at little to no cost to employees, supporting health and recovery.
• Highly competitive equity grants are included in the majority of full-time offers as part of total compensation.