Top Hybrid Software Engineer Jobs

Lead the architecture and implementation of web services and APIs for the Ethic platform, ensuring high performance and responsiveness while collaborating with cross-functional teams.

Develop scalable financial products by collaborating with cross-functional teams, solving complex problems, and building distributed systems. Focus on application development, code reviews, and architecture.

As a Mobile Engineer, you'll build a healthcare mobile app using React Native, make architectural decisions, and engage in cross-team collaboration.

As a Frontend Engineer, you'll build a consumer healthcare product using React and TypeScript, focusing on UI quality and performance optimization while collaborating with design and backend teams.

As a Full-Stack Engineer, you will build and scale a consumer healthcare product, focusing on user experience and operational challenges, while working with a team on various tasks.

As a Software Engineer I at FourKites, you will design and develop software modules, resolve incidents, and contribute to new technologies in a collaborative team environment.

Lead design, development, and maintenance of software platform. Review code, improve performance and security, manage technical debt, and support team members.

Design and maintain a SaaS platform, develop full-stack applications, lead architecture decisions, mentor engineers, and ensure coding best practices.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The Manager will lead a software development team for a cloud-based identity and access management platform, overseeing architecture, design, and development, while also engaging in hands-on engineering and team leadership.

Lead development of next-gen system software for AI computing, overseeing R&D, budgeting, and collaboration with teams and partners.

Lead architecture and development of scalable web applications and APIs, integrate LLM/AI features, design streaming and real-time AI experiences, maintain ingestion/analytics infrastructure, collaborate across product and engineering, and deliver production-ready, testable code.