Top Hybrid Software Engineer Jobs in Boston, MA

Support R&D in acoustic technologies by conducting experiments, building prototypes, performing measurements, and collaborating with research teams.

The Director of Solutions Engineering will lead the SE organization for strategic customers, guide AI-native adoption, collaborate globally, mentor teams, and advocate for customers' needs in product development.

The Salesforce Solutions Architect will design and implement Salesforce solutions for the insurance industry, ensuring compliance and integration with legacy systems while leading development teams and engaging with stakeholders.

The Senior Software Engineer will lead the development of backend services and APIs, design system architecture, and collaborate closely with teams to evolve the Enterprise platform.

As the Engineering Manager for ML Platform, you'll lead a team to build core platforms for ML and AI, oversee model training and deployment, improve system reliability, and collaborate across teams to support Klaviyo's AI products.

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

Develop and maintain web applications on cloud infrastructure, collaborate with teams to containerize apps, implement UIs, and write backend APIs while using Agile and DevSecOps practices.

The role involves leading technical delivery of software projects, mentoring teams, ensuring quality execution, and managing client accounts, while promoting innovative practices.

As a Software Engineer, you will develop user interfaces and backend services for Benchling's Study Lifecycle team, improving scientific workflows. You'll own projects from design to rollout and collaborate with product teams while delivering well-documented code.

The Senior Engineer on the Developer Experience Team will design shared engineering capabilities, improve developer productivity, and integrate AI tools into workflows to enhance software delivery across Magnite.

The Revenue Systems Architect will own and evolve the revenue systems stack, lead configuration and development, implement AI agents, oversee data governance, and collaborate with various stakeholders for technical specifications.