Security Engineer, Cloud Security
OpenAIFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have experience supporting engineering and product implementation efforts through threat assessments, assurance activities, and advisory work across distributed systems. Strong knowledge of cloud service providers like AWS, GCP, or Azure, Kubernetes, and Cilium is required. Experience implementing and operating engineering security tools such as static/dynamic code analysis, software composition analysis, SBOM, OWASP SAMM, and fuzzing tools is necessary. Significant development and automation experience, including the ability to work with C++ code, is essential, along with a security-as-code mindset. Bonus points include a BS/MS/PhD in Computer Science, contributions to open-source projects, and security/cloud certifications.
The Product Security Engineer will collaborate with engineering and product teams to improve existing and build new product features focused on threat modeling, assurance, and secure implementation. They will identify security gaps and vulnerabilities in ClickHouse Cloud and OSS, triage reported vulnerabilities, and improve security assurance activities like pentests, vulnerability assessments, bug bounty programs, and fuzzing. The role involves driving the implementation and usage of engineering security tools, nurturing the engineering-security relationship, handling information security events and incidents, and developing processes, tooling, and automation to scale security processes and mitigate business risks.
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.