Sr. Cloud Engineer, Falcon Cloud Security (Hybrid)
CrowdStrikeUSA - New York, NY$140k – $215kPosted 7 April 2026
Job Description
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
CrowdStrike is seeking a Senior Engineer for Cloud Security Product Group.
We’re extending CrowdStrike’s mission of “stopping breaches” into the public cloud and cloud-native workloads. CrowdStrike’s product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, CrowdStrike’s endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.
This role is hybrid, on-site at one of the posted locations. Candidate should be comfortable visiting the office twice a week once the development center is established.
What You’ll Do:
Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products
Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale
Brainstorm, define and build collaboratively with members across multiple teams
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team
Work in a startup-like environment with a small fast-moving team
Be mentored and mentor other developers on web, backend, and data storage technologies and our system
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability
Be given the autonomy to own your work in a high trust environment
The technology stack you’ll use will include:
Go (Golang)
AWS/GCP/Azure/Kubernetes
Kafka
GIT
Cassandra
ElasticSearch
Docker
Redis
What You’ll Need:
Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems)
Understanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc
Being a team player
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast-paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.
Bonus Points:
Contributions to the open-source community (GitHub, Stack Overflow, blogging)
Existing exposure to Go, Scala, AWS, Cassandra, Kafka, Elasticsearch...
Prior experience in the cybersecurity or intelligence fields
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This role will require the candidate to periodically undergo and pass additional background and fingerprint check(s) consistent with government customer requirements.
Benefits of Working at CrowdStrike:
Market leader in compensation and ... (truncated, view full listing at source)
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