Top Hybrid Software Engineer Jobs

The Senior Engineering Manager will lead the Apple UI development team, ensuring high-quality applications, mentoring engineers, and aligning project goals with business needs.

The Senior Software Development Engineer will design and maintain scalable backend services and APIs, lead technical discussions, ensure system security, and mentor junior engineers.

As a Senior Full-Stack and Platform Software Engineer at mabl, you will develop features for an AI-powered test automation platform, enhancing user experiences, designing APIs, and optimizing data pipelines while collaborating with cross-functional teams.

As a Software Engineer, you will develop Interactive Voice Response applications, enhancing user experiences using various technologies while troubleshooting and supporting clients.

Design, build, and optimize backend and full-stack features for Dandy's manufacturing and supply chain platform. Implement order routing, support CAD->CAM automation, provide real-time order status, and improve system performance and scalability.

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

As a Senior Web Engineer, develop and maintain web applications, mentor engineers, and drive technology improvements while collaborating cross-functionally to support a leading ticket marketplace.

Join the MongoDB Server Query Optimization team to build a distributed open-source query optimizer, focusing on enhancing query performance and robustness. Responsibilities include innovation in flexible schema databases, mentoring team members, and contributing to the technical roadmap based on extensive experience in the database domain.

The Software Engineer will lead the design and implementation of ML workflows, focusing on building, deploying, and maintaining ML systems for pricing. Responsibilities include managing data pipelines, collaborating with cross-functional teams, mentoring engineers, and improving ML lifecycle processes.