Advanced Research Engineer - Cloud & AI Security

CrowdStrike

United States

Remote

USD 150,000 - 210,000

Full time

4 days ago
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Benefits offered by this job

Market-leading compensation
Wellness programs
Vacation and holidays
Parental and adoption leaves
Professional development
Employee networks
Global culture

Job summary

CrowdStrike is seeking a Software Engineer for Advanced Research to build and maintain cloud services that stay ahead of adversaries. You will work in a multidisciplinary team with Security, Data Science, and Visualization experts, delivering AI-enabled capabilities and ensuring reliable operations in a distributed, remote-first setting.

You'll collaborate across engineering teams, implement scalable architectures, and leverage technologies like Kafka, Flink, and cloud providers.

Qualifications

  • BS in computer science or equivalent practical experience.
  • Experience programming in at least one listed language (Java/Scala/Go/Python).
  • Strong understanding of distributed systems, scalability, RESTful APIs, and multithreading.
  • Experience deploying and scaling services in production.
  • Familiarity with CI/CD workflows.

Responsibilities

  • Develop, maintain, and enhance distributed cloud services.
  • Keep services healthy and running with monitoring.
  • Collaborate with Security, Data Science, Engineering, and Visualization teams to integrate capabilities into Falcon platform.

Skills

Java/Scala/Python/Go
Distributed systems
RESTful APIs
Multithreading
CI/CD tooling
Cloud APIs (AWS/GCP/Azure)
Communication skills
AI technology experience

Education

Bachelor's degree in Computer Science

Tools

Kafka
Flink
Redis
Elasticsearch
Cassandra
Docker
Kubernetes
Grafana

Job description

CrowdStrike is seeking a Software Engineer for Advanced Research to build and maintain cloud services that stay ahead of adversaries. You will work in a multidisciplinary team with Security, Data Science, and Visualization experts, delivering AI-enabled capabilities and ensuring reliable operations in a distributed, remote-first setting.

You'll collaborate across engineering teams, implement scalable architectures, and leverage technologies like Kafka, Flink, and cloud providers.

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