Staff QA Automation Engineer

Position Summary

Empower is seeking a Staff QA Automation Engineer to serve as the enterprise technical authority for quality engineering, driving the architecture, governance, and evolution of scalable automation capabilities across the organization. This role owns the long-term strategy for automation frameworks, testing practices, and quality engineering standards that improve software reliability, accelerate delivery, and enable data-driven decision making. Leveraging AI as a force multiplier, the Staff QA Automation Engineer advances automation speed, scale, quality, and engineering productivity through intelligent tooling, predictive insights, and reusable platform capabilities. Operating with significant autonomy, this role influences engineering strategy across Empower's hyper-growth, highly regulated 503A and 503B environment, partnering with technology leaders to solve complex technical challenges while demonstrating exceptional strategic thinking, execution rigor, innovation, and continuous learning agility.

Responsibilities

Automation Strategy

• Framework Ownership: Own the technical architecture, governance, and multi-year roadmap for Empower's enterprise automation ecosystem, ensuring scalable, reusable, and maintainable capabilities across UI, API, performance, accessibility, visual, and end-to-end testing. Leverage AI-assisted engineering, predictive analytics, and emerging automation technologies to accelerate framework evolution, improve engineering efficiency, and establish enterprise-wide quality engineering standards that support long-term business growth.
• Architecture Design: Define automation architecture and quality engineering strategy for new platforms, products, and enterprise initiatives before implementation begins. Establish scalable design patterns, reusable framework components, and engineering standards that enable consistent automation practices while improving delivery speed, software quality, maintainability, and cross-team collaboration throughout the software development lifecycle.
• Technology Innovation: Evaluate, pilot, and introduce emerging automation technologies, including AI-