Top Hybrid Software Engineer Jobs

As a Data Software Engineer, you will design and implement data processing pipelines, collaborate with various teams, and enhance Applecart's targeting capabilities. You'll work on identity resolution systems and contribute to all software development activities.

As a Staff Software Engineer, you will lead technical design discussions, architect core platform services, drive improvements in system reliability, and mentor other engineers while collaborating closely with product and design teams.

The Senior Software Engineer will enhance the Data Lakehouse team's infrastructure for data storage, querying, and analysis, dealing with large-scale event data. Responsibilities include developing automated data pipelines and contributing to technical strategy.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

Lead and manage a team of data engineers to develop data pipelines and warehouses while collaborating with cross-functional teams to fulfill data requirements.

As a Principal Software Engineer, you will design software systems, drive technical initiatives, mentor teams, and shape engineering practices while integrating AI solutions and ensuring system reliability.

The Senior Full-Stack Engineer will develop web and mobile app features, maintaining backend services and AI personalization systems with a focus on quality, autonomy, and user needs.

As a Graduate Software Engineer, you'll collaborate with teams to build products, create interfaces, and address customer challenges while participating in training and mentorship programs.

The Automation Engineer will design, implement, and maintain automation workflows using Apache Airflow, scripting, and various integrations to enhance operational efficiencies. Responsibilities include building pipelines, automating repetitive tasks, ensuring application reliability, and collaborating across teams to identify automation opportunities.