3 дня назад
Backend Engineer (Go)
185 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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