Senior Engineer, Cloud Native, AI Detection and Response (AIDR)

CrowdStrike

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Sunnyvale, CAAustin, TXRedmond, WA
Salary
$140,000–$215,000 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $185k
This role $178k
$130k $236k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $147,800–$222,625 — the blue band above. At the midpoint, this role pays about $178k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About CrowdStrike

CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.

CrowdStrike currently has 22 open roles on FindRole.

Listed pay typically runs $112,500–$167,500 across 22 roles with salary data.

Most-posted roles

View all roles at CrowdStrike

At a glance

TL;DR · Senior Engineer, Cloud Native, AI Detection and Response (AIDR)

The Sr. Engineer, Cloud Native - AI Detection and Response (AIDR) joins the team to architect and deliver scalable implementations for various features. This role involves understanding requirements, researching solutions, and prototyping production-quality code while building dashboards to monitor performance metrics. The engineer will develop AI applications and agents, specifically focusing on LLM concepts like RAG, AI Workflows, Agentic AI, and MCP. Required technical skills include expert knowledge of Go and/or Python, K8s, and frameworks such as TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, and MS Copilot Studio. The position requires deep understanding of cloud infrastructure across AWS, GCP, Azure, or OCI. The work centers on building generative AI features to enhance decision-making and streamline workflows within a cybersecurity context.

What you'll do

  • Research and compare various technical solutions to address specific business requirements.
  • Design and present detailed architecture documents for new features to stakeholders.
  • Prototype and implement production-quality, scalable, and performant code for AI applications.
  • Build and maintain dashboards to monitor and report on production metrics like efficacy and performance.
  • Develop and deploy AI agents using frameworks such as LangChain, LlamaIndex, or Autogen.
  • Iterate on solutions based on gathered feedback to improve scale and performance.
  • Explain complex technical features and solutions to customers and larger audiences.

What we're looking for

  • 6+ years of combined experience as a cloud app developer.
  • 4+ years of experience in implementing Generative AI Apps and features.
  • Deep understanding of LLM concepts including RAG, AI Workflows, Agentic AI, AI Agents, AI Agent Frameworks, MCP, and A2A.
  • Expert level knowledge of Go and/or Python.
  • Expert level knowledge of frameworks such as TensorFlow, PyTorch, Autogen, LlamaIndex, LangChain, AWS Agent Core, AI Agent Studio, or MS Copilot Studio.
  • Moderate to expert level knowledge of K8s.
  • Deep understanding of at least 2 cloud infrastructure services: AWS, GCP, Azure, or OCI.
  • Previous experience in security companies or working on security products (preferred).

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