30 дней назад
Cloud Engineer III, Falcon Exposure Management (Hybrid)
120 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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