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Sr. Engineer - Cloud Backend; Hybrid; Sunnyvale

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: CrowdStrike
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 140000 - 215000 USD Yearly USD 140000.00 215000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Engineer - Cloud Backend (Hybrid) - Sunnyvale

As a global leader in cybersecurity, Crowd Strike 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. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on Crowd Strike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. Crowd Strikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented Crowd Strikers 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:

This is a full stack backend engineering position on the Spotlight platform team. You will design, build, and operate the cloud-native services and infrastructure that power Crowd Strike's endpoint vulnerability assessment capabilities at global scale. This role requires a strong focus on distributed systems, service reliability, scalability, and cloud architecture across AWS and GCP.

This role also requires reasoning and judgment over large volumes of continuously changing data, at the scale Crowd Strike operates — work that conventional rule-based systems have only partially addressed. We're treating agentic reasoning as a core architectural element rather than a feature layered onto an existing system, which means real decisions are still open: where reasoning belongs, where determinism is the better answer, and how to make either hold up in production.

The

Product And Platform:

Falcon Vulnerability Assessment is the industry's first scan-less endpoint vulnerability assessment solution, delivering real-time, zero-impact assessments of endpoint security posture. Falcon Vulnerabiity Assessment adds preparation and readiness to the unparalleled prevention, detection and response provided by the Falcon platform, resulting in a stronger security posture and unprecedented breach protection.

Crowd Strike Falcon is a two-component security product. One component is a "sensor", which is a lightweight agent installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon cloud. The cloud component aggregates sensor telemetry for each customer's network, can correlate malicious behavior across multiple machines, and presents our customers' operations teams with a prioritized summary of the threats detected in their environments.

What

You'll Do:
  • Design and build high-throughput, low-latency backend services and APIs in Golang and Python
  • Architect and operate cloud-native infrastructure across AWS and GCP at scale (S3, SQS, Kubernetes/KEDA, and more)
  • Build and maintain Kafka-based event streaming pipelines for near-real-time vulnerability event processing
  • Drive backend engineering and process automation across the platform
  • Partner with security researchers and platform teams (Intel, EPP) to deliver integrated capabilities
  • Own service reliability — performance profiling, incident response, and root cause analysis on time-sensitive production issues
  • Continuously re-engineer for improved architecture, performance, and stability
  • Write high-quality, well-tested, production-ready code with a focus on observability and operability
  • Build agentic capabilities into the product — systems that reason over real data, use tools, and produce explainable results customers can act on
  • Take AI capabilities from prototype to production, owning…
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