Fullstack Engineer

Who We Are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

What We Need

We are looking for a Fullstack Engineer to join our Cloud Tool and Application Team within our Software Engineering organization . Your job will be to design, build, and maintain modern cloud-based applications, backend services, and user-facing platforms that support warehouse automation, digital twin, simulation, and robotics operations. You will work closely with cross-functional engineering teams to deliver scalable, secure, and high-performance software solutions that power Symbotic's next-generation automation systems.

What We Do

The Cloud Tool and Application Team is part of the Software Engineering organization , which is responsible for building the software platforms, tools, and services that power Symbotic's industry-leading warehouse automation solutions. Our team develops cloud-native applications, monitoring platforms, digital twin technologies, simulation systems, and operational tools that enable real-time visibility, diagnostics, fleet management, and business-critical engineering workflows across our robotics ecosystem.

What You’ll Do

• Design, develop, and maintain modern fullstack web applications (React, Next.js), backend services (Node.js), APIs, and cloud-based tools for digital twin and simulation systems.
• Support real-time data visualization, monitoring dashboards, playback tools, diagnostic tools, and operational workflows for robotics and warehouse automation platforms.
• Implement highly secure and scalable data pipelines to ingest data from various sources, ensuring accuracy and timeliness of data used to update digital twin models.
• Manage and optimize cloud-based infrastructure to support digital twin simulations, including storage, computing resources, and network connectivity.
• Collaborate with UX/UI designers, product stakeholders, robotics engineers, cloud engineers, QA engineers, data engineers, and operational users to translate business and technical needs into practical application features.
• Work with cloud infrastructure, databases, messaging systems, and data pipelines to ensure applications are scalable, reliable, secure, and performant.
• Participate in application deployment, CI/CD, production support, troubleshooting, and system performance optimization.
• Support integration with simulation, digital twin, telemetry, diagnostics, fleet management, and AI-powered enterprise automation workflows where needed.
• Maintain clear technical documentation, architecture diagrams, API specifications, deployment guides, and operational notes.
• Stay up to date with modern frontend, backend, cloud application, data visualization, security, and AI-assisted development technologies.
• Perform other related duties as reasonably assigned by the direct manager or the Employer.

What You’ll Need

• 2+ years of professional experience in fullstack software development, with strong experience across both frontend and backend platforms.
• Strong experience with JavaScript / TypeScript, Node.js, and modern frontend frameworks such as React.js and Next.js.
• Solid experience designing and building scalable backend services, RESTful APIs, real-time services, and cloud-based applications.
• Experience building modern web applications with strong attention to usability, performance, maintainability, and reliability.
• Experience with frontend data visualization, dashboard development, or complex web-based user interfaces.
• Experience with web-based 3D rendering or visualization technologies such as WebGL, Three.js, or WebGPU is preferred.
• Experience with data processing pipelines, event-driven systems, real-time data streams, or high-volume telemetry data.
• Familiarity with cloud development and deployment on platforms such as Google Cloud Platform and/or Microsoft Azure.
• Experience working with databases and data platforms such as MongoDB, Snowflake, PostgreSQL, or similar systems.