Cloud Engineer III, Falcon Exposure Management (Hybrid)
$120,000–$180,000 year
HybridAustin, Texas, United States or Sunnyvale, California, United States
Job Summary
Design and build a new product from the ground up, making foundational architecture and technology decisions for Falcon Exposure Management. Build the distributed systems foundation handling high throughput, large-scale data processing, and reliability. Integrate agentic capabilities that reason over real data, use tools, and produce explainable results. Take AI capabilities from prototype to production, owning latency, cost, correctness, and evaluation. Design guardrails and policies for autonomous reasoning safe for enterprise customers. Turn open-ended problems into scoped, shippable increments while setting the technical bar for quality, testing, and observability.
Required Qualifications
- 5+ years of production experience building and maintaining systems at scale
- Strong proficiency in Go, Python, or Java, with solid distributed systems experience — concurrency, partitioning, backpressure, and failure handling under load
- Experience shipping LLM-backed systems to production, including ownership of reliability, cost, and correctness
- Practical experience with agentic loops — designing or operating agents that invoke tools and act on real data, and choosing sensibly among planning, reflection, and multi-step patterns
- A working approach to non-determinism: structured outputs, schema validation, retries, self-checks, and graceful fallbacks
- Strong engineering judgment — the ability to break down an unfamiliar problem, reason about tradeoffs, and choose the simplest approach that works
- Hands-on use of frontier-model SDKs (Anthropic, OpenAI, or similar) and AI-assisted development tools, with a realistic view of their capabilities and limits
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
Desired Qualifications
- Experience with evaluation and observability tooling for agentic systems
- Experience with RAG pipelines, vector stores, or retrieval-augmented agents
- Experience with graph databases and complex data modeling
- Experience in cybersecurity — welcome, though not required
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