Top Hybrid Software Engineer Jobs

Design and build scalable distributed systems for financial transactions, leveraging AI tools to improve engineering workflows, while collaborating with cross-functional teams.

The role involves leading engineering efforts for automation projects, providing technical support for various systems, and ensuring compliance with cGMP practices.

As a Software Engineering Intern, you will develop tools for software engineers to enhance developer experience, collaborating on projects like plugins and workflows.

As a Staff Software Engineer at Moonshot AI, you'll design scalable systems for generative AI, lead technical strategy, mentor engineers, and collaborate cross-functionally to develop resilient infrastructure.

As a Senior Software Engineer, design and develop features for a cloud platform, collaborate with teams, and improve system integrations.

Join Hi Marley's engineering team as a Software Engineer, where you will build and improve product features, write clean code, and collaborate with your team in a supportive environment.

Lead and modernize core Laravel/PHP backend systems and high-performance React/TypeScript frontends. Architect integrations (MLS/RETS/RESO), improve video processing and media delivery, strengthen CI/CD and Docker deployments on AWS/Rackspace, introduce AI-driven automation, and provide senior technical leadership and mentorship.

Develop and maintain full-stack web applications and analytic pipelines to support AI and clinical research. Collaborate with data scientists and researchers to implement ML models, ensure data security and compliance, mentor junior developers, and deploy scalable solutions using cloud, containerization, and version control tools.

The Staff Software Engineer designs and builds scalable cloud-based backend services, leading technical discussions and mentoring team members while ensuring software quality and driving innovation in application development.

Lead design and implementation of scalable backend architectures and clean APIs, optimize databases and queries for large datasets, introduce abstractions to improve performance and reliability, define testing and CI/CD strategies, mentor engineers, and align engineering priorities with product goals.