Top Software Engineer Jobs in Boston, MA

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.

The Data Engineer II supports and optimizes data architectures, develops streaming data applications with Kafka, and ensures data delivery for various teams, handling moderate complexity projects from design to implementation.

Develop and maintain Nasuni's NAS appliance platform, focusing on Linux systems software, automated tests, and debugging. Collaborate with support and QA teams for issue resolution.

As a Staff Engineer, you will lead technical challenges, architect solutions, mentor engineers, and define engineering excellence.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

Develop image processing techniques for airborne infrared imaging systems. Collaborate with cross-functional teams and maintain physics-based digital twins. Role requires strong expertise in C++, Python, and image processing.

The Senior Software Engineer will modernize warehouse technology, improve fulfillment operations, and collaborate with stakeholders to deliver solutions.

Lead engineering teams to modernize and maintain Liberty Mutual's Sales & Agency platforms (notably a major Salesforce modernization). Hire, coach, and deploy staff, drive delivery against KPIs, remove technical debt, improve operability/observability, and collaborate cross-functionally to enable automation and AI use-cases that boost agent productivity and sales effectiveness.

Lead a 4-6 engineer agile team as a player-coach, ensuring high-quality delivery, technical excellence, security/compliance, hiring and retention, operational improvements, and close collaboration with Product and Design while supporting AI-assisted development.

As a Senior Data Engineer, you will build and manage ingestion frameworks for real-time and batch data pipelines, mentor teams, and ensure compliance and quality in data operations.