Top Hybrid Software Engineer Jobs

The Process Automation Developer designs and builds scalable low-code solutions using Microsoft Power Platform to automate workflows and improve operational efficiency in logistics and cold storage. Responsibilities include gathering requirements, developing applications, ensuring security, and mentoring other developers.

The Software Development Manager will lead teams to modernize warehouse management systems, overseeing service extraction from a Java monolith to a microservice architecture on Azure, while ensuring technical delivery and team performance.

Lead the design and implementation of experimentation infrastructure, improve the reliability and efficiency of experimentation processes, and mentor engineers while collaborating with cross-functional teams.

Design and implement AI-driven file processing pipelines, ensuring data observability and reliability, mentoring juniors, and solving production issues.

The Client Engineering Manager will lead a team in delivering high-performance interactive experiences for social casino games, overseeing technical roadmaps and mentoring engineers.

The Forward Deployed Engineer serves as a technical bridge between Opal and customers, leading technical conversations, writing code for integrations, and driving implementations from kickoff to production.

As a Senior Back-End Engineer, you'll design and build platform features, handle data growth, scale systems, and improve engineering processes while collaborating with teams.

The Software Engineer, AI will develop intelligent systems for financial workflows, utilizing LLMs and other technologies to enhance bookkeeping and data processing for agriculture businesses.

The Senior Full-Stack Software Engineer will develop and enhance full-stack applications, supporting data-driven products and collaborating with the engineering team on various software solutions.

Design and develop a portable compiler for AI applications, focusing on resource efficiency and scalability, while improving architecture based on machine learning advancements.

Lead a team in developing a high-performance compiler, mentor engineers, design major components, and create onboarding processes.

Design and develop a multi-target runtime, optimize kernels, analyze compiler outputs, and improve architecture based on ML engineers' needs.

Lead software integration and deployment of autonomous orchestration platform, connecting various systems and translating operational tasks, while supporting customer engagements and improving core software.