Senior Go & Cloud Engineer, OWL Platform (Remote)

CrowdStrike Inc.; United States; Remote; USD 120,000 - 185,000; Full time

Benefits offered by this job

Market-leading compensation

Comprehensive wellness programs

Paid parental and adoption leaves

Professional development opportunities

Global, diverse team culture

Job summary

CrowdStrike is seeking an engineer to advance the OverWatch Labs platform, building scalable data infrastructure and tools that process trillions of events per day. You will contribute to a highly available cloud-native stack using Go, Python, AWS, and modern data stores.

The role emphasizes collaboration, ownership, and continuous learning within a distributed, remote-friendly team. You’ll work on productionizing research, extending components, and driving efficiency across the platform while

Qualifications

• Degree in Computer Science or commensurate experience.
• Experience with Golang or another language for web backends and pipelines.
• Built web-services with data processing pipelines and relational/noSQL databases.
• Understanding of messaging/queueing software; Kafka helpful but not required.

Responsibilities

• Collaborate with OverWatch engineering to build, develop, and maintain operational systems, projects, and tools.
• Extend current system by building new components and improving platform/tooling.
• Bring research projects into production and integrate with OWL systems.
• Work in a DevOps environment with on-call responsibilities and ownership of deliverables.

Skills

Golang

Python

Cloud AWS

PostgreSQL

Elasticsearch

Kafka

Kubernetes

Distributed systems

Linux

Education

B.Sc. in Computer Science or equivalent

Tools

Go

AWS

PostgreSQL

Redis/Cassandra

Elasticsearch

Kafka

Kubernetes

Job description

CrowdStrike is seeking an engineer to advance the OverWatch Labs platform, building scalable data infrastructure and tools that process trillions of events per day. You will contribute to a highly available cloud-native stack using Go, Python, AWS, and modern data stores.

The role emphasizes collaboration, ownership, and continuous learning within a distributed, remote-friendly team. You’ll work on productionizing research, extending components, and driving efficiency across the platform while