Senior Platform Engineer, Scalable Security Infra

CrowdStrike Inc.

Oregon

Hybride

USD 120 000 - 185 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Market-leading compensation and equity
Wellness programs
Generous vacation and holidays
Paid parental/adoption leaves
Professional development
Employee networks and volunteering
Great Place to Work Certification

Résumé du poste

CrowdStrike Inc. is seeking an engineer to help scale its OverWatch Labs platform. You’ll build and maintain data infrastructure and tools for analysts processing trillions of events per day, leveraging Go, Python, AWS, and Kubernetes in a distributed, cloud-first environment.

You’ll work with a distributed team across time zones, contribute to production-grade systems, and participate in open source initiatives while ensuring reliability and performance at scale.

Qualifications

  • Degree in Computer Science or commensurate experience.
  • Experience building web backends and data pipelines in Go or Python/Rust/C/C++.
  • Familiar with relational and NoSQL databases (Postgres, ElasticSearch, Redis, Cassandra).
  • Understanding of distributed systems and cloud environments (AWS).
  • Strong communication and collaboration skills.

Responsabilités

  • Collaborate with OverWatch engineering to build, deploy, and maintain scalable systems.
  • Extend and enhance platform components and data infrastructure.
  • Improve analysis and hunting workflows by refining tools and pipelines.
  • Translate research into production-ready services and integrations.
  • Operate in a DevOps setup with on-call responsibilities and ownership.
  • Maintain high-quality code through reviews and testing practices.
  • Contribute to open source and mentor teammates.

Connaissances

Go (Golang)
Python
AWS
Postgres
ElasticSearch
Kafka
Kubernetes
Distributed systems

Formation

Degree in Computer Science

Outils

Redis
Cassandra

Description du poste

CrowdStrike Inc. is seeking an engineer to help scale its OverWatch Labs platform. You’ll build and maintain data infrastructure and tools for analysts processing trillions of events per day, leveraging Go, Python, AWS, and Kubernetes in a distributed, cloud-first environment.

You’ll work with a distributed team across time zones, contribute to production-grade systems, and participate in open source initiatives while ensuring reliability and performance at scale.

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