Top Hybrid Software Engineer Jobs in Boston, MA

Lead the development and ownership of data analytics capabilities, design data pipelines, ensure system performance, and collaborate across teams for data solutions.

Design, develop, and maintain scalable Java-based backend systems and APIs. Write clean code, perform testing and debugging, conduct code reviews, mentor junior engineers, and collaborate with stakeholders to deliver resilient production software.

The Engineering Manager will lead software innovation, manage cross-functional teams, oversee project execution, and mentor junior talent to enhance software solutions and client relationships.

The Principal Software Engineer will lead architectural strategy and product development, mentor engineers, and collaborate across teams in an interdisciplinary setting.

The Full Stack Engineer will design and implement complex software systems, collaborate with stakeholders, and develop web and mobile applications while learning new technologies.

Design, build, and maintain full-stack features for Robin's workplace platform. Collaborate with product and design, apply AI-driven capabilities, and own code quality, performance, and scalability while improving core systems and engineering practices.

Lead design and delivery of backend and data-driven services: translate product requirements into technical designs, implement and deploy production cloud services, mentor engineers, review code, drive technical decisions, and own the technical excellence and roadmap for your team.

As a Software Architect at DraftKings, you will lead architectural design for scalable, resilient systems, mentor engineers, and drive cross-team initiatives.

The Client Integration Engineer will lead complex client integrations, design data integration solutions, and ensure customer success while collaborating with multiple teams.

Seeking a Software Engineer to join the Data Team, responsible for improving data quality and delivering insights through APIs and dashboards. Key tasks include architectural improvements, data collection upgrades, and building data processing pipelines using AI tools.