Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана четко и включает современную backend-разработку, облачную инфраструктуру и edge-системы, но обязательная работа из офиса четыре дня в неделю и отсутствие зарплаты затрудняют оценку условий.
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Четыре дня в офисеЗарплата не указанаСовременный стекAI и умная инфраструктураЧеткие задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Core Engineer (Go): Building and scaling high-performance microservices and edge platform services connecting Nvidia Jetson/Orin hardware, Linux/Yocto systems, AWS, and Kubernetes with an accent on reliability, observability, and distributed systems. Focus on diagnosing memory and latency bottlenecks, designing scalable architectures, and using AI-assisted workflows to analyze complex systems.
Location: Tel Aviv, Israel; hybrid office-first model with on-site work at least four days per week
Company
hirify.global builds AI-powered infrastructure for smart spaces across parking, mobility, retail, hospitality, and real estate.
What you will do
Design, develop, and scale high-performance microservices and edge platform services, primarily in Go.
Own systems spanning Nvidia Jetson/Orin edge hardware, custom Linux/Yocto builds, AWS, and Kubernetes.
Use AI development tools and agentic workflows for debugging, system analysis, and software quality.
Improve reliability, memory usage, performance, and observability through metrics, structured logging, and real-time alerts.
Lead architectural reviews, support unified migrations with US and international teams, and mentor engineers.
Requirements
Bachelor’s degree in Computer Science or a related field.
6+ years of experience building complex, high-scale backend or distributed systems.
Production backend experience with Go, C++, Java, or a similar language.
Experience diagnosing stability issues, memory and latency bottlenecks, and building telemetry with Prometheus, Fluent Bit, or similar tools.
Experience with Docker, Kubernetes, microservices, gRPC, and messaging technologies such as Kafka or MQTT.
Ability to work in unfamiliar codebases and deliver production-ready solutions quickly, including with Cursor, Claude, Copilot, or similar AI tools.
Nice to have
Experience with Nvidia Jetson or Intel edge devices, Linux internals, Yocto, Ubuntu, or IoT environments.
Experience with real-time video processing, RTSP/SRTP streams, or GStreamer.
Familiarity with AI applications, RAG pipelines, vector databases such as USearch or Faiss, and agent protocols including MCP and A2A.
Culture & Benefits
Office-first work model with on-site collaboration at least four days per week.
Cross-functional collaboration with product and engineering teams in the US and internationally.
Inclusive environment where every voice is valued and ideas are evaluated on merit.
Work at the intersection of parking, mobility, real estate, AI, and edge technologies.
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