Top Hybrid Software Engineer Jobs in Boston, MA

Lead the development and deployment of software for AI and mission planning, managing teams and ensuring successful project execution.

Design and build software components, collaborate with teams, ensure quality assurance, and participate in on-call rotations while adhering to best practices.

As Principal Software Engineer at Gusto, you'll architect scalable payroll systems, lead cross-functional projects, mentor engineers, and drive product strategy.

As a Software Engineer II at WHOOP, you'll develop and maintain internal tools and integrations, collaborate with various teams, and enhance business efficiency.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

As an Engineering Manager at Klaviyo, you will lead the Integrations team to develop and enhance integrations, ensuring scalability and reliability while collaborating with diverse teams.

This co-op position involves prototyping and implementing AI audio processing algorithms. Responsibilities include working with digital signal processing, presenting findings, and integrating solutions into existing systems for customer projects.

The Software Engineer will develop full-stack web applications, manage projects end-to-end, collaborate with teams, and ensure code quality and maintainability.

As a JavaScript Engineer II, you'll build user-centric features, conduct A/B tests, collaborate with teams, and engage throughout the development lifecycle.

Lead and mentor software engineering teams while designing large-scale distributed systems, driving digital transformation, and ensuring project success at PwC.

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