Sr. Backend Engineer, Cloud – Next-Gen SIEM (Remote, CAN)
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. We have 3.44 PB of RAM deployed across our fleet of C* servers – 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: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 team and contribute to the development of our advanced detections and user and entity behavior analytics (UEBA) solutions. 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.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, Engineering, or a related field, or equivalent experience.8+ years of experience in software development, with a focus on cloud-native architectures and distributed systems.Strong proficiency in at least one modern programming language such as Go (preferred), Python, Java, or C#.Experience in designing and implementing scalable data processing systems.Understanding of security concepts and threat detection methodologies.Track record of successfully delivering technical projects on schedule.Familiarity with cloud platforms (preferably AWS) and containerization technologies like Docker and Kubernetes.Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.A collaborative mindset and the ability to work effectively across teams and disciplines.Bonus Points:Experience working in cybersecurity or intelligence fields.Familiarity with SIEM or log management solutions.Experience with big data technologies such as Kafka, OpenSearch, or Spark.Basic understanding of machine learning and AI techniques applied to cybersecurity.#LI-SS1 Canada
Fri, 21 Feb 2025 23:34:17 GMT
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