Cloud Security Researcher
1 month ago
We are seeking a highly skilled Cloud Security Researcher to join our team at Nexthire. As a key member of our security research group, you will be responsible for researching emerging technologies, threats, and vulnerabilities in SaaS and enterprise products.
Key Responsibilities- Investigate logs from security systems to detect intrusions or misconfigurations and create detections based on your findings.
- Research emerging technologies, threats, vulnerabilities in SaaS and enterprise products and create actionable alerting scenarios.
- Write detection rules documentation with actionable recommendations for mitigations.
- Publish your findings internally for customers and externally for blog/marketing needs.
- Work with our customers to investigate anomalies and incidents and create custom detections and next step recommendations.
- 3+ years of experience in security research in large, complex or security organizations.
- Experience in managing and securing enterprise IT environments with emphasis on cloud environments (AWS, Azure, GCP).
- Experience in securing cloud and SaaS environments and familiarity with cloud and SaaS attack vectors and misconfigurations.
- Experience in enterprise security, in offensive or defensive approaches, hands-on experience with attacking or defending enterprise systems.
- Experience in threat modeling (Attack kill chain, MITRE ATT&CK/D3FEND), identifying security vulnerabilities, common attacker exploit techniques, and related mitigations and remediations.
- Writing abilities (former publications for blogs/comprehensive report writing).
- Deep knowledge of Cloud security principles.
- Experience with Regex or additional query languages.
- Knowledge of script writing, programming language (Python, JS, etc).
Nexthire is a cybersecurity technology innovator with a vision to empower organizations across the globe to quickly, efficiently, and cost-effectively ready themselves to address omnipresent cyber risk. We are part of the Coralogix group, rebuilding the path to log observability by offloading the burden of indexing and providing deep insights to accumulated data, at an infinite scale, for less than half the cost.
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