Engineer III - Cloud - Cloud Runtime Protection (Hybrid)
CrowdStrikeUSA - New York, NY$120k – $180kPosted 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:
Join our Cloud Runtime Protection team and help build the technology that stops breaches before they happen. As part of CrowdStrike's Falcon Cloud Security organization, you'll develop and operate high-scale cloud systems that protect workloads and secure Kubernetes environments for thousands of customers worldwide.
We're seeking passionate engineers to build cutting-edge runtime protection capabilities, processing massive data volumes while delivering both customer-facing solutions and internal tools. You'll work with industry-leading Cloud Workload Protection and Kubernetes & Container Security technologies, directly contributing to our mission of stopping adversaries in their tracks.
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:
Design and develop secure, maintainable cloud-based systems for runtime visibility, detection and response of cloud workloads
Be part of a global team of highly skilled and passionate engineers, building and maintaining cloud services
Collaborate with cross-functional teams to understand cloud needs and create scalable solutions
Champion learning and new technologies (including AI tools) while mentoring team members on backend and data storage technologies
Continuously improve product architecture, performance, and user experience through regular evaluation and optimization
Own your work autonomously while helping maintain system reliability at scale
What You’ll Need:
Computer Science degree or equivalent experience with data structures, algorithms, and distributed systems
4 years of production experience building, delivering, and maintaining large-scale systems
Strong programming skills in Go (Golang) or similar languages, with expertise in multi-threading, concurrency, and parallel processing
Deep understanding of distributed systems, scalability challenges, and engineering best practices (testing, code reviews, resilient architecture)
Passion for shipping quality code frequently and seeing your work impact production systems
Ability to thrive in a fast-paced, collaborative environment while meeting commitments and delivering well-tested, reviewed code
Bonus Points:
Existing exposure to K8s, Redis, Cassandra, OpenSearch
Familiarity with message queuing systems (Kafka, RabbitMQ)
Prior experience in the cybersecurity or intelligence fields.
Familiarity with infrastructure as code
Contributions to the open-source community (GitHub)
#LI-JC1
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 equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunt ... (truncated, view full listing at source)
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