Site Reliability Engineer

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. 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 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:

Our mission is to make all of our customers' security-relevant data continuously available for automated detection and response, threat hunting, and other Falcon use cases. To enable this, the systems behind NG-SIEM are growing to accommodate >100 PB of event and action data ingested every day, up to 10 years of retention, and dozens of millions of queries per hour across large sections of the data stored.

As our new NG-SIEM Site Reliability Engineer, you'll be responsible for ensuring the reliability, performance, and scalability of our serverless platform that delivers this massive scale to customers and other Falcon modules. You'll work on improving system observability, automating operational tasks, optimizing resource utilization, and maintaining our stringent SLOs while balancing cost efficiency. This role requires deep technical expertise in distributed systems, cloud infrastructure, and a passion for operational excellence.

What You'll Do:

• Ensure Platform Reliability: Own the availability, latency, performance, and efficiency of NG-SIEM platform services handling >100 PB/day of data ingestion and millions of queries per hour

• Build Automation & Tooling: Design and implement automation solutions for deployment, monitoring, incident response, and capacity planning to reduce toil and improve operational efficiency

• Monitor & Optimize: Develop comprehensive observability solutions using metrics, logs, and traces; proactively identify and resolve performance bottlenecks and reliability issues

• Incident Management: Lead incident response efforts, conduct blameless post-mortems, and drive continuous improvement initiatives to prevent recurrence

• Capacity Planning: Analyze system performance data and growth trends to forecast infrastructure needs and ensure the platform scales efficiently with customer demand

• SLO/SLA Management: Define, measure, and maintain Service Level Objectives and error budgets; balance feature velocity with reliability requirements

• Cost Optimization: Implement strategies to optimize cloud resource utilization and reduce operational costs while maintaining performance and reliability standards

• Collaborate Cross-Functionally: Partner with engineering teams to improve system design for reliability, influence architectural decisions, and embed SRE best practices

• On-Call Participation: Participate in on-call rotation to provide 24/7 support for critical production systems

• Documentation: Create and maintain runbooks, operational procedures, and technical documentation to enable team scalability

What You'll Need:

• Experience in Site Reliability Engineering, DevOps, or similar roles supporting large-scale distributed systems in production environments

• Strong programming skills in at least one language (Go) for automation and tooling development

• Deep cloud expertise with hands-on experience in at least one major cloud platform (AWS or GCP), including compute, storage, networking, and managed services

• Distributed systems knowledge: Understanding of distributed system design patterns, consistency models, fault tolerance, and scalability principles

• Infrastructure as Code: Proficiency with IaC tools (Terraform) and configuration management (Ansible, Chef, Puppet)

• Container orchestration: Experience with Kubernetes, Docker, Podman and container-based deployment patterns

• Obs