Назад
30 дней назад

Cloud Engineer III, Falcon Exposure Management (Hybrid)

120 000 - 180 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Cloud Engineer III, Falcon Exposure Management (Hybrid) (Go/Python/Java, AI): Building a greenfield cybersecurity product with distributed systems and agentic reasoning over continuously changing data, with an accent on high-throughput processing, reliability, and explainable AI results. Focus on taking LLM-backed capabilities from prototype to production, designing safe guardrails, and solving latency, cost, correctness, evaluation, and observability challenges.

Location: Hybrid in Sunnyvale, California, USA

Salary: $120,000–$180,000 per year, plus bonuses, equity grants, and benefits

Company

Cybersecurity company building an AI-native platform that protects organizations and processes nearly 3 trillion events per day.

What you will do

  • Design and build a new Falcon Exposure Management product from the ground up.
  • Make foundational architecture and technology decisions for high-throughput distributed systems and large-scale data processing.
  • Build agentic capabilities that reason over real data, invoke tools, and produce explainable results.
  • Move AI capabilities from prototype to production while owning latency, cost, correctness, and evaluation.
  • Design safety guardrails and policies for autonomous reasoning in enterprise environments.
  • Set engineering standards for quality, testing, observability, and incremental delivery while supporting other engineers.

Requirements

  • 5+ years of production experience building and maintaining systems at scale.
  • Strong proficiency in Go, Python, or Java, with experience in distributed systems, concurrency, partitioning, backpressure, and failure handling.
  • Experience shipping LLM-backed systems to production and owning their reliability, cost, and correctness.
  • Practical experience designing or operating agentic loops that invoke tools and act on real data.
  • Experience with structured outputs, schema validation, retries, self-checks, graceful fallbacks, and non-deterministic systems.
  • Hands-on experience with frontier-model SDKs such as Anthropic or OpenAI, AI-assisted development tools, and applying AI to improve decision-making and business outcomes.

Nice to have

  • Evaluation and observability tooling for agentic systems.
  • RAG pipelines, vector stores, or retrieval-augmented agents.
  • Graph databases and complex data modeling.
  • Cybersecurity experience.

Culture & Benefits

  • Hybrid office culture with workplace amenities.
  • Health, physical wellness, and mental wellness programs.
  • Competitive vacation and holiday time.
  • Paid parental and adoption leave.
  • Professional development opportunities, employee networks, neighborhood groups, and volunteer programs.
  • Full-time employment with health insurance, 401(k), paid time off, bonuses, and equity eligibility.

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