Principal Consultant, Cloud Incident Response (Remote)
CrowdstrikeFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have a background in product security, red teaming, penetration testing, or threat modeling, combined with incident detection and response experience. Strong knowledge of and experience with one or more cloud service providers (e.g., AWS, GCP, Azure) is required, along with excellent written and verbal communication skills and experience securing large-scale customer-facing cloud infrastructures. Significant development and automation experience, preferably in Golang and Python, is also necessary. A BS, MS, or PhD in Computer Science or a related field, previous contributions to open-source projects, and security or cloud-related certifications are considered bonus points.
The Incident Response Security Engineer will develop processes, tooling, and automation to scale incident management response and mitigate business risks. They will collaborate with other security functions, engineering, product, support, and business operations to identify appropriate detection use cases and automation. The role involves applying a threat modeling-centric approach to incident detection and response, maintaining the security logging platform, and staying up-to-date with the latest threats and attack vectors to improve detection mechanisms and attack surface management. This position will also handle information security events and incidents across ClickHouse products and services.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.