Top Hybrid Software Engineer Jobs in Boston, MA

As a Founding Engineer, you'll build data pipelines and AI systems for healthcare policy data, ensuring usability and scalability while managing end-to-end product ownership.

Lead customer adoption of Evo products through technical leadership, strategic delivery, and implementation of customer-specific tooling. Drive product evolution based on customer feedback and engagement.

The Principal Software Engineer leads the Loss Data Capture platform's architecture and implementation, focusing on scalable microservices, APIs, and technical mentorship, ensuring security and operational excellence.

The Full-Stack Engineer will develop web applications, manage infrastructure, write SQL, and collaborate with various stakeholders to enhance patient experience in healthcare.

The Senior Manager of Software Development will lead the Core Platform organization, ensuring scalability, reliability, and security across global deployments while building and coaching engineering teams and driving multi-year technical strategy.

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 Product Solutions Architect will educate and support Datadog customers on Logs, CloudPrem, and Observability Pipelines, providing architectural guidance and developing best practices for log management.

As a Principal Software Engineer, you'll modernize DevX Pipelines, enhance CI/CD infrastructure, and promote software delivery efficiency.

As a Senior Lead Software Engineer, you'll architect and enhance high-volume message delivery systems, strategize platform improvements, and mentor engineers while collaborating across teams to drive innovation and reliability for messaging infrastructure.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.