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Текст:
Hirify AI/Оригинал
TL;DR
Senior Fullstack Software Engineer (Robotics) (Go/TypeScript/React): Building and scaling cloud-native platforms for humanoid robot fleet operations with an accent on real-time communication, fleet management, and reliable distributed systems. Focus on developing WebSocket services, REST APIs, Kubernetes and AWS infrastructure, and production observability for connected robots operating in real-world environments.
Location: Eastern Europe
Company
hirify.global is recruiting for an AI and robotics company developing humanoid robots that operate alongside people and assist with everyday tasks.
What you will do
Design, develop, and maintain end-to-end features across Go backend services, TypeScript/React applications, and cloud infrastructure.
Build real-time communication services, robot cloud protocols, fleet-operation tools, and platforms for monitoring, logistics, and service operations.
Design and maintain REST APIs and API-first integrations.
Work with relational databases, including schema design, migrations, and query performance optimization.
Deploy and maintain services on Kubernetes and AWS, improving reliability, performance, monitoring, logging, and distributed tracing.
Troubleshoot production issues, investigate incidents, and own features from design through deployment and support.
Requirements
Strong production experience developing backend services in Go (Golang).
Strong proficiency in TypeScript, React, and Node.js, plus production experience building and maintaining fullstack applications.
Strong understanding of software architecture, concurrency, and distributed systems.
Experience developing real-time applications with WebSockets.
Experience designing REST APIs and using API-first tools such as OpenAPI.
Experience with relational databases, schema design, migrations, and query optimization.
Production Kubernetes experience, including deployments, services, secrets, and rollout strategies.
Solid AWS knowledge, including ECS, EKS, RDS, and S3.
Experience with CI/CD pipelines, monitoring, logging, and observability, with the 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, IoT or fleet management platforms, or monitoring connected physical devices.
Knowledge of Goose, Drizzle, or pgx database tooling.
Culture & Benefits
Paid vacation, sick days, and floating holidays.
Sport and insurance compensation.
English classes and training compensation.
Charity support.
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