Senior Fullstack Software 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 Senior 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

• 5+ 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.

• Experience with messaging and streaming systems such as Kafka, RabbitMQ, ZeroMQ, NATS, or similar technologies.

• Familiarity with CI/CD pipelines, containerization, deployment automation, monitoring, logging, and…