Our client is a pioneering AI and robotics company developing advanced humanoid robots designed to operate alongside people and assist with everyday tasks.

We are looking for a Fullstack Engineer to help build and scale the cloud-native platform powering humanoid robot fleet operations.

The platform connects robots with operators, customers, and internal systems. It includes Go backend services communicating with robots over WebSockets, TypeScript/React frontend applications, and AWS cloud infrastructure running on Kubernetes and ECS.

The team is responsible for real-time robot telemetry, video streaming, fleet management, internal operational tools, and customer-facing portals.

You will contribute to mission-critical systems that support the reliable operation and scaling of humanoid robots in real-world environments.

• Design, develop, and maintain end-to-end features across Go backend services, TypeScript/React frontend applications, and cloud infrastructure.

• Build and extend real-time communication services using WebSockets.

• Develop and improve robot cloud protocols and tools for fleet operations.

• Build internal and customer-facing platforms for robot monitoring, fleet management, logistics, and service operations.

• Design and maintain REST APIs and API-first integrations.

• Work with databases, including schema design, migrations, and query performance optimization.

• Deploy and maintain services using Kubernetes and AWS.

• Improve system reliability, performance, and observability through monitoring, structured logging, and distributed tracing.

• Troubleshoot production issues, participate in incident investigation, and contribute to continuous improvement.

• Collaborate with cross-functional engineering teams and take ownership of features from design through production deployment.

Required:

• Strong production experience developing backend services in Go (Golang).

• Strong proficiency in TypeScript, React, and Node.js.

• Experience building and maintaining fullstack applications in production.

• Strong understanding of software architecture, concurrency, and distributed systems.

• Experience developing real-time applications using WebSockets.

• Experience designing REST APIs and working with API-first development tools such as OpenAPI.

• Experience with relational databases, schema design, migrations, and query optimization.

• Production experience with Kubernetes, including deployments, services, secrets, and rollout strategies.

• Solid knowledge of AWS services, including ECS, EKS, RDS, and S3.

• Experience with CI/CD pipelines, monitoring, logging, and observability.

• Ability to independently own, deploy, and support production systems.

Nice to Have:

• Experience with AI/LLM applications, OpenAI SDK, LangChain, or prompt engineering.

• Experience with WebRTC, SFU, or real-time video streaming.

• Familiarity with robotics systems, ROS, or robot middleware.

• Experience with 3D visualization.

• Experience building IoT or fleet management platforms.

• Knowledge of database tooling such as Goose, Drizzle, and pgx.

• Experience supporting and monitoring connected physical devices.