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 CrowdStrike'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 CrowdStrike 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.
CrowdStrike 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 latency, cost, correctness, and evaluation
- Design the guardrails and policies that make autonomous reasoning safe for enterprise customers
What You'll Need:- 8-12 years of backend engineering experience.
- Solid experience with Golang/Java in production systems.
- Strong understanding of distributed systems, microservices, and event-driven architectures.
- Hands-on experience with AWS cloud services (S3, SQS, and similar)
- Experience with Kafka or other event streaming platforms.
- Strong database skills - Cassandra, Elasticsearch/OpenSearch, Redis, or similar distributed data stores.
- Hands-on use of frontier-model SDKs (Anthropic, OpenAI, or similar) and AI-assisted development tools, with a realistic view of their capabilities and limits.
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
- Ability to communicate effectively at all levels of an organization
- Strong collaboration skills and experience working in a global team
- Commitment to software quality - unit tested, code reviewed, and continuously integrated
Bonus Points:- Experience in cybersecurity - welcome, though not required
- Experience with Kubernetes and event-driven autoscaling (KEDA)
- Experience with observability tooling (Splunk, Grafana, LogScale, or similar)
- Familiarity with security vulnerability management or cybersecurity platforms
- Good understanding of Windows OS internals and the Windows API
- Experience with infrastructure-as-code (Terraform, CDK, or similar)
- Prior experience with large-scale data acquisition or content pipeline systems
- Experience with evaluation and observability tooling for agentic systems
- Experience with RAG pipelines, vector stores, or retrieval-augmented agents
- Experience with graph databases and complex data modeling
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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 volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $140,000 - $215,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
For detailed information about the U.S. benefits package, please click here.
