Job Description
The Director of Quality Engineering at OpenEye leads the company's quality assurance efforts across cloud, edge, mobile, and AI-driven software platforms, focusing on developing and executing quality strategies, automation, and release readiness to ensure reliable and scalable product delivery.
Key Responsibilities
- Define, execute, and evolve the quality strategy across the platform, including cloud services, edge-based software, mobile applications, analytics, AI capabilities, and hardware integration.
- Lead and develop the quality engineering organization, including recruiting, mentoring, and capacity planning.
- Establish and maintain quality standards, methodologies, and best practices to ensure predictable, high-quality product releases.
- Drive the adoption of modern testing approaches, automation frameworks, and continuous improvement initiatives to enhance testing coverage and reliability.
- Integrate AI-assisted testing, automation, and quality analytics into workflows to improve efficiency and decision-making.
- Oversee release readiness, including planning, execution, and communication of quality status and risks to ensure predictable releases.
- Build and maintain cross-functional partnerships to embed quality throughout the software development lifecycle and manage quality-related risks.
- Manage end-to-end device and system quality, including hardware validation, firmware testing, and production readiness.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8 to 10 years of experience in software quality engineering, including ownership of test strategy, automation, and release readiness in complex software environments.
- 5 years of experience leading managers and multi-discipline quality or engineering teams.
- Proven success in defining and scaling quality strategies across cloud-based, distributed, and integrated software and hardware platforms.
- Deep understanding of modern quality engineering practices, including automated testing, CI/CD integration, and release governance.
- Experience guiding or applying AI-assisted tools and techniques within quality engineering workflows, with an understanding of quality considerations for AI-driven or data-dependent systems.
- Strong strategic thinking, communication, and cross-functional leadership skills, with a track record of improving quality outcomes while balancing delivery speed.
- Demonstrated ability to operate effectively across teams and disciplines to manage risk, align priorities, and deliver reliable software at scale.
Benefits & Perks
Medical, dental, vision prescription benefits starting day 1
Generous medical plan subsidy and health savings account option with company contribution
Up to 5,000 annual company match for 401k
Company paid short-term and long-term disability, AD&D, and life insurance
Paid maternity and paternity leave
15 days of paid vacation accrued per year, increasing after year 3
7 paid sick wellness days per year
9 paid holidays per year
Flexible hybrid work schedule
Educational Assistance Program covering non-degree support, undergraduate and graduate degrees
Employee Equipment Program
Free Alarm.com system for your home
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