Top Software Engineer Jobs in Boston, MA

As an Engineering Manager, you'll hire and mentor engineers, shape team practices, and collaborate on the engineering roadmap while fostering a collaborative team culture.

As a Staff Software Engineer, you will lead projects, build features, improve user experience, mentor team members, and streamline processes. You will collaborate across teams and enhance engineering practices.

Lead the development of AI-powered trading systems, focusing on building pipelines, enhancing research with AI, filtering signals, and managing infrastructure for data processing in a fast-paced trading environment.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

As a Principal macOS Engineer, you will architect and develop new features for enterprise software on macOS, lead innovation, and guide other developers in a cross-functional team setting.

As a Senior Backend Engineer, you will design scalable backend systems, build APIs, collaborate across teams, and contribute to engineering best practices to enhance product performance.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

As the Engineering Manager for Scribe's Platform team, you will lead the backend team, define technical strategy, collaborate on product outcomes, and foster engineering culture while ensuring reliability and compliance.

Design and maintain backend services for AuthZed Cloud's control plane, focusing on Kubernetes systems and secure authentication. Collaborate with teams for system reliability and incident resolution.

You will act as a technical lead for customer deployments, integrating AI solutions into workflows, diagnosing issues, and collaborating with engineering teams.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.

Design, build, and scale data integrations for healthcare systems, collaborating with teams and enhancing functionality while ensuring security and quality.