Echo360 is seeking a Senior Full Stack Engineer to design, build, and operate high-impact features across the frontend and backend of our Echosystem. This role is ideal for an experienced engineer that builds with ownership, leads with influence, delivers with impact and who thrives in end-to-end ownership.   Beyond technical excellence, you demonstrate a quality-first mindset through well-tested, well-documented code, CI/CD best practices, and thoughtful code reviews. You will contribute as a mentor and collaborator across teams, working with infrastructure engineers to manage application environments.

Echo360 is seeking a Senior Full Stack Engineer to design, build, and operate high-impact features across the frontend and backend of our Echosystem. This role is ideal for an experienced engineer that builds with ownership, leads with influence, delivers with impact and who thrives in end-to-end ownership.   Beyond technical excellence, you demonstrate a quality-first mindset through well-tested, well-documented code, CI/CD best practices, and thoughtful code reviews. You will contribute as a mentor and collaborator across teams, working with infrastructure engineers to manage application environments.

Echo360 is seeking a Senior Full Stack Engineer to design, build, and operate high-impact features across the frontend and backend of our Echosystem. This role is ideal for an experienced engineer that builds with ownership, leads with influence, delivers with impact and who thrives in end-to-end ownership.   Beyond technical excellence, you demonstrate a quality-first mindset through well-tested, well-documented code, CI/CD best practices, and thoughtful code reviews. You will contribute as a mentor and collaborator across teams, working with infrastructure engineers to manage application environments.

• Design, build, and operate backend services that power context retrieval, enrichment, and insight generation across HubSpot’s platform. • Build systems for storing, processing, and retrieving high-volume GTM data (e.g., contact history, CRM activity, behavioral signals). • Develop scalable data processing and streaming solutions to support AI-driven use cases. • Create reusable platform capabilities and APIs that enable other product teams to build smarter AI assistants and agents. • Contribute to evaluation and quality frameworks to ensure context accuracy, reliability, and performance. • Collaborate closely with platform teams and downstream product engineering teams to integrate capabilities into real customer experiences. • Own end-to-end delivery: architecture, implementation, observability, performance, and iteration in production environments.