Top Remote Senior Level QA Engineer Jobs in Dallas, TX

Lead development of components and user experience related to sensitive data identification and classification. Coordinate design, development, and deployment across engineering teams. Ensure quality through code reviews and best practices.

The Sr. Software Engineer is responsible for designing, developing, and implementing Symitar application projects, optimizing solutions in .NET, and enhancing system operational efficiencies. They will manage multiple projects, analyze business needs, identify technical solutions, and mentor team members while ensuring compliance with relevant regulations.

As a Staff Software Engineer, you will lead a feature delivery team to design, develop, and release high-quality software features for the Huntress Security Platform, focusing on software architecture, performance, and maintaining coding standards while mentoring junior engineers.

As a Principal Solutions Engineer, you will engage with clients to understand their needs and design tailored solutions. Your role includes developing innovative solutions, providing technical leadership, communicating complex concepts, and coordinating cross-functional projects to enhance the data cloud platform.

The Software Engineering Manager will lead a high-performing engineering team, overseeing software application design, development, and deployment. This role requires mentoring engineers, fostering continuous improvement, ensuring adherence to best practices, and collaborating with cross-functional teams. The manager is expected to stay updated on industry trends to maintain competitive software solutions.

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.

The Senior Software Engineer II in AI Research will develop and implement AI technologies to advance drug development processes, collaborate with multidisciplinary teams, and scale AI models effectively while staying updated on trends in AI and software development.