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.

• Architects and builds enterprise software applications on cloud platforms using AWS technologies. • Develops software in a fast-paced Agile development environment. • Builds microservices and Application Programming Interfaces (APIs) for high-scale, high-availability data pipelines dealing with sensitive customer financial data. • Maintains and secures data in multiple databases to ensure data integrity, availability and performance. • Contributes to the development of test automation. • Provides business solutions by developing complex or multiple software applications. • Develops software system testing and validation procedures, programming, and documentation. • Coordinates software system installation and monitors its functioning to ensure specifications are met. • Develops original and creative technical solutions to on-going development efforts. • Designs applications or subsystems on major projects and for/in multiple platforms. • Develops applications for multiple projects supporting several divisional initiatives. • Supports and performs all phases of testing leading to implementation. • Assists in the planning and conducting of user acceptance testing. • Develops comprehensive documentation for multiple applications supporting several corporate initiatives. • Responsible for post-installation testing of any problems. • Establishes project plans for projects of moderate scope. • Works on complex assignments and often multiple phases of a project. • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

• Implementing Observability Frameworks: Building the tools and templates that provide visibility into model performance, data drift, and training statistics, ensuring our continuous retraining loops are robust. • Engineering for Efficiency: Developing systems to track and optimize compute costs and training performance, allowing us to scale our ML efforts sustainably. • Building Experimentation Tooling: Executing on the roadmap for internal tools that enable Data Scientists and ML Engineers to iterate and deploy experiments with minimal friction. • Developing SaaS-grade ML Services: Writing high-quality, maintainable Python code to build and automate services that sit at the core of our ML lifecycle. • Bridge-Building: Working alongside our Staff Engineer to implement architectural designs and collaborating with SRE/DevXP teams to ensure our solutions are production-ready and easily managed.