Remote Senior Data Infrastructure Engineer - Scale Security

CrowdStrike Inc.; Lansing (MI); Remote; USD 120,000 - 185,000; Full time

Benefits offered by this job

Compensation & equity

Wellness programs

Vacations & holidays

Parental leave

Professional development

Employee networks

Office culture

Great Place to Work

Job summary

CrowdStrike is building the next-generation infrastructure and security platform. You will work on the OverWatch Labs platform to process trillions of events daily, developing scalable data infrastructure and tools for analysts.

The role emphasizes Go and Python development, AWS, Postgres, and distributed systems, with a strong focus on autonomy, collaboration, and delivering high-scale solutions.

Qualifications

• Degree in Computer Science (or commensurate experience).
• Experience with Go or another language for backend development (web backends/pipelines).
• Built web-services with data processing pipelines; relational & noSQL databases (Redis, Postgres, Cassandra, ElasticSearch) a plus.
• Understanding of messaging/queueing software; Kafka experience helpful but not required.
• Linux skills and experience with large-scale Linux environments.
• Understanding of distributed systems and Cloud environments such as AWS.
• Ability to thrive in a fast-paced, test-driven, collaborative environment.
• Strong engineering practices from testing to peer reviews and resilient architecture.

Responsibilities

• Collaborate with OverWatch engineering to build, develop, and maintain systems/tools.
• Build new components and extend the current system to improve analysis and hunting.
• Bridge research projects into production environments and integrate with OWL.

Skills

Go programming

Linux

Distributed systems

Cloud

Problem solving

Education

Degree in Computer Science

Tools

Go

Python

AWS

Postgres

ElasticSearch

Kafka

Kubernetes

Job description

CrowdStrike is building the next-generation infrastructure and security platform. You will work on the OverWatch Labs platform to process trillions of events daily, developing scalable data infrastructure and tools for analysts.

The role emphasizes Go and Python development, AWS, Postgres, and distributed systems, with a strong focus on autonomy, collaboration, and delivering high-scale solutions.