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Задачи по созданию real-time платформы для гуманоидных роботов описаны четко, но широкий охват fullstack-разработки, облачной инфраструктуры и поддержки продакшена предполагает значительную ответственность сразу в нескольких областях.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Fullstack Software Engineer - Product (AI & Robotics) (Go/TypeScript/React): Building and scaling a cloud-native platform for humanoid robot fleet operations with an accent on real-time communications, fleet management, and cloud infrastructure. Focus on designing distributed systems, optimizing production reliability and observability, and supporting robot operations through WebSockets, Kubernetes, and AWS.
Location: LATAM
Company
hirify.global is hiring for an AI and robotics client developing humanoid robots and a cloud-native platform for operating robot fleets.
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, telemetry, video streaming, fleet management, and operational tools.
Develop internal and customer-facing platforms for robot monitoring, logistics, and service operations.
Design REST APIs and API-first integrations; manage database schemas, migrations, and query performance.
Deploy and maintain services on Kubernetes and AWS, including ECS, EKS, RDS, and S3.
Improve reliability, performance, and observability; troubleshoot production issues and own features through deployment and support.
Requirements
Strong production experience developing backend services in Go (Golang).
Strong proficiency in TypeScript, React, and Node.js, with experience building and maintaining production fullstack applications.
Strong understanding of software architecture, concurrency, and distributed systems.
Experience building real-time applications with WebSockets and designing REST APIs 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 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, IoT or fleet management platforms, and 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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