Sr. Backend Cloud Engineer - Next-Gen SIEM (Remote)

About CrowdStrike

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.

Employment Type: Full time

About the Role

Are you passionate about building innovative cloud-based security solutions? Do you enjoy tackling complex problems in high-volume, data-intensive environments? CrowdStrike is seeking a Senior Engineer - Cloud to join our CrowdStrike Falcon® Next-Gen SIEM team, with a focus on developing user and entity behavior analytics (UEBA) solutions and anomaly detection capabilities. In this role, you'll be working on designing and implementing features that process trillions of events daily, empowering organizations to defend against sophisticated cyber threats. If you're ready to work on systems that operate at massive scale and make a significant impact on the future of cybersecurity, we want to hear from you.

What You’ll Do

• Contribute to the design and development of cloud-native microservices for our Next-Gen SIEM platform, focusing on detections and UEBA capabilities processing trillions of events per day.
• Write correct and clean code, consistently following best practices.
• Collaborate with Advanced Detection Research, Data Science, and other teams to design and implement scalable systems for processing behavioral analytics rules and detection logic across massive datasets.
• Integrate and deploy anomaly detection algorithms and behavioral analytics models for identifying unusual patterns in user and entity behavior.
• Own well-defined projects, driving technical decisions and providing input on architectural choices using collaborative tools like Miro.
• Balance short-term delivery needs with long-term product goals.
• Collaborate with cross-functional teams to implement threat detection solutions.
• Proactively communicate assumptions and seek clarification to reduce rework.
• Utilize and integrate technologies such as Go, Kafka, Redis, OpenSearch, PostgreSQL, and more to build robust, scalable solutions.
• Optimize and scale systems for improved stability, performance, and reliability across business-critical infrastructure, using monitoring tools like Grafana to track and analyze system metrics.
• Mentor junior engineers through pair programming, code reviews, and knowledge sharing, fostering a culture of technical excellence.
• Participate in the interview process, conducting technical interviews and providing input on candidate selection.
• Champion software engineering best practices including: Testing, code reviews, documentation, CI/CD, and adherence to architectural principles that promote scalability and maintainability.
• Improve team performance through guidance and documentation.
• Volunteer for leadership roles in working groups and activities that extend beyond assigned projects within the company or externally.
• Provide monitoring and operational support for production services, including participating in an on-call rotation for one week approximately every 10-12 weeks.
• Manage tasks and priorities effectively using Jira in a high-trust, autonomous environment.

What You’ll Need

• Bachelor's or Master’s degree in Computer Science