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3 дня назад

Backend Engineer (Go)

185 000 - 245 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Backend Engineer (Go/AI): Building real-time safety infrastructure that ingests incident signals, verifies and distributes alerts, delivers live video, and supports enterprise APIs with an accent on correctness, latency, cost, and AI-native operations. Focus on designing distributed systems, integrating models and agents behind audited production gates, and operating services at consumer scale with rotational on-call ownership.

Location: New York City, on-site every day

Base salary: $185,000–$245,000 per year, plus equity

Company

hirify.global operates a real-time safety platform that detects, verifies, and distributes incident information and live video to consumers, cities, hospitals, campuses, and private security.

What you will do

  • Own core parts of the real-time pipeline, including ingestion, detection, verification, geolocation, and distribution to millions of devices.
  • Build and operate live video infrastructure using phone ingestion, restreaming, and Mux delivery.
  • Put AI models and agents into production workflows with evaluation, provenance, guardrails, fallbacks, and audited deployment stages.
  • Develop backend services for ProtectOS, Regulator, enterprise consoles, public APIs, MCP access, and partner integrations.
  • Run Go and Python services on Kubernetes in Google Cloud with Pub/Sub, MySQL, PostgreSQL, BigQuery, and observability tooling.
  • Drive initiatives end to end, measure latency, correctness, reliability, and cost, and participate in the rotational on-call program.

Requirements

  • Experience building and operating backend systems at consumer scale, especially real-time or event-driven services.
  • Fluency in Go and comfort with Python for ML and data pipelines.
  • Experience with Kubernetes, modern cloud infrastructure, message queues, relational and analytical databases, and observability.
  • Experience carrying a pager for production systems and responding to urgent incidents.
  • Production experience with ML models or LLMs, including evaluation, fallbacks, and auditability.
  • Willingness to work in the New York City office every day and participate in 24/7 rotational on-call coverage.

Nice to have

  • Experience with live video or streaming infrastructure.
  • Experience using AI agents to write, review, test, and operate production code.

Culture & Benefits

  • Engineering follows a driver-and-builder model with individual ownership of scope, sequencing, and tradeoffs.
  • Work closely with iOS, Android, ML, Data, and Mission Control.
  • Use AI agents as part of the daily engineering workflow and extend agent loops across the backend.
  • Participate in a rotational on-call program of approximately one week every two months.
  • Base salary of $185,000–$245,000 per year plus equity.

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