Top Remote Senior Level Software Engineer Jobs in Rochester, NY

As a Principal Full Stack Engineer, you'll lead the design and integration of ad analytics and ad fraud products, manage the software development lifecycle, mentor junior engineers, and ensure best practices in a collaborative environment. You'll work with product teams to gather requirements, build scalable systems, and automate cloud infrastructure.

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 will build and maintain data pipelines, collaborate across disciplines to provide accurate information, and protect user privacy. The role requires extensive experience in building scalable software and managing data pipelines, with a focus on backend APIs and distributed architectures.

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.

Develop and implement new ad formats for web-based rendering, collaborate with teams on new features, enhance automated testing, mentor junior engineers, and ensure system reliability and efficiency for ad serving.

As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.