Cloud Engineer III, Falcon Exposure Management (Hybrid)
About The Position
Join our Falcon Exposure Management team as one of the first engineers on a new, greenfield initiative. You'll help design and build a product from the ground up, shaping its architecture and its direction. This is a problem where AI changes what's achievable. It requires reasoning and judgment over large volumes of continuously changing data, at the scale CrowdStrike operates — work that conventional rule-based systems have only partially addressed. We're treating agentic reasoning as a core architectural element rather than a feature layered onto an existing system, which means real decisions are still open: where reasoning belongs, where determinism is the better answer, and how to make either hold up in production. A security background isn't required. What matters is strong systems engineering, experience running AI-based systems in production, and the curiosity to get up to speed in a new domain quickly.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- Design and build a new product from the ground up, making foundational architecture and technology decisions
- Build the distributed systems foundation: high throughput, large-scale data processing, and the reliability our customers expect
- Build agentic capabilities into the product — systems that reason over real data, use tools, and produce explainable results customers can act on
- Take AI capabilities from prototype to production, owning latency, cost, correctness, and evaluation
- Design the guardrails and policies that make autonomous reasoning safe for enterprise customers
- Turn open-ended problems into scoped, shippable increments
- Set the technical bar early on quality, testing, and observability, and help grow the engineers around you
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- health insurance
- 401k
- paid time off
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
