Top Hybrid Software Engineer Jobs

The Full Stack Software Engineer will build and ship product features, collaborate with teams, and improve services and APIs. Requires 3+ years of experience.

As a Senior Frontend Software Engineer, you'll develop features and enhance user experience through Typescript and React, while collaborating with cross-functional teams.

Lead the design and evolution of core services architecture, manage cloud deployments, drive technical strategies, and mentor engineers at Hayden AI.

Develop and optimize computer vision and deep learning models for visual inspection in manufacturing automation, collaborating with cross-functional teams.

Lead cross-functional development teams and partner with senior stakeholders to define and deliver end-to-end software solutions. Own architecture and full SDLC, design and support mission-critical systems, set architecture standards and best practices, mentor engineers, and integrate cloud, containerization, CI/CD, database, and AI/ML technologies into scalable applications.

Insight M is seeking applications for various roles, including software and hardware engineers, data scientists, and customer success managers. They emphasize collaboration, creativity, and a flexible working environment. Though specific positions may not be currently open, they welcome candidates to apply as the company grows.

Design and build native iOS features for investment and cash accounts, write automated tests, integrate with design systems and backend APIs, own projects end-to-end, collaborate with cross-functional teams, mentor peers, and support production iOS app and CI through on-call rotations.

As a Senior Full Stack Engineer, you will develop AI-enhanced solutions, collaborate with teams, and optimize learning experiences using various technologies.

The role involves developing tools for large-scale computation in printing workflows, focusing on job monitoring, error reporting, and improving existing systems.

As an Engineering Lead, you will architect and drive the execution of AI-integrated solutions for enterprise clients, managing multiple projects and ensuring secure, scalable implementations while communicating with technical stakeholders.