Top QA Engineer Jobs in Dayton, OH

The Software Engineer - Technical Lead will lead a team of engineers in building reliable systems, mentoring team members, and designing critical components for government-funded projects. Responsibilities include engaging with clients to understand needs and representing the team technically.

The VP of Software Engineering at Dropbox will lead the core engineering teams, manage product engineering, influence cross-functional relationships, and set the technical strategy. The role requires exceptional leadership skills to foster innovation and a high-quality engineering culture while ensuring reliable products at scale.

Lead a team of engineers, QE, and design to deliver high impact revenue driving results, provide feedback on product and technical specs, grow engineers, continuously improve engineering process, collaborate on technical vision.

In this role, you will develop and support REST APIs, GraphQL endpoints, and microservices in a cloud-native environment using Java. You will also maintain data pipelines ensuring data quality. Collaborating in a dynamic team, you will be involved in innovative solutions and modern design patterns.

As an Engineering Manager, you'll lead the cross-functional Collaboration team at Basis Technologies. Your focus will be on building full-stack features such as Messaging, Task Management, and Notifications, enabling integration with platforms through scalable APIs. You'll work closely with product management and design teams, ensure high development quality, and support the career growth of your team members.

As a Senior Software Engineer and Tech Lead at Digible, you will lead a team, ensure the delivery of customer-facing SAAS products, and drive the adoption of best engineering practices. Collaborating with stakeholders, you will contribute to product ideation and maintain high-quality standards. Mentorship and clear communication are key aspects of this role.

As the Principal AI Engineer, you will lead the team in designing and implementing AI solutions for mental healthcare, focusing on LLM workflows, advanced prompt engineering, and AI infrastructure optimization. You will collaborate with cross-functional teams and mentor junior engineers to create innovative AI/ML applications that improve mental health outcomes.