Top Hybrid Software Engineer Jobs

In this role, you will architect and build software products for physical operations, collaborate cross-functionally, and drive impactful innovation.

As a Senior Software Engineer for Quicksilver, you will work on a globally distributed key-value store, improving performance, writing features, supporting the stack, and debugging complex systems.

The role involves providing technical leadership in software engineering and architecture, mentoring developers, and innovating cloud-based banking solutions.

Lead MongoDB's Server Programmability team, focusing on improving the development process, enhancing programming models, and building reusable software components. Responsibilities include team management, guiding engineering decisions, collaborating with stakeholders, and delivering high-quality features.

The Enterprise Architect will collaborate with stakeholders to assess and modernize legacy applications to MongoDB, design microservice architectures, produce technical deliverables, and provide governance throughout the modernization process.

As a Senior Backend Engineer, you'll build, deploy, and monitor backend applications while collaborating across disciplines to improve quality and efficiency in development processes.

Design and build scalable data integration frameworks and pipelines, ensuring data accuracy and collaborating with stakeholders to improve data management.

The Engineering Manager will lead a software and data engineering team, overseeing AI/ML model development for the insurance industry and ensuring collaborative processes across teams.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

This role involves developing software solutions, performing code reviews, maintaining test automation, and collaborating on technical problem-solving. Senior engineers also provide mentorship and contribute to process improvements.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.