Job Description
The cybersecurity analyst role is provided by NVIDIA, which is meant for analysts who are responsible for securing the company’s environment, cloud infrastructure, and products from advanced cyber attacks. The job includes handling incident response tasks, threat hunting on endpoints, networks, and cloud workloads, and conducting security incident investigations on AWS, Azure, GCP, Kubernetes, and container-based environments. Digital forensics, malware analysis, identity compromise investigation, vulnerability analysis, and root cause analysis are some of the skills that are required for the role.
Experience: 8+ Years
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Responsibilities
- Lead the efforts in incident response within corporate, cloud, and product environments by conducting investigations, containment, eradication, and recovery.
- Conduct threat hunting in the endpoint, network, cloud workloads, and identity environments to find new threats and IoCs.
- Perform investigations of cloud incidents in the AWS, Azure, GCP, Kubernetes, and containerized workloads environment, including log and workload forensics.
- Support investigations and root cause analysis through digital forensics and malware analysis.
- Develop security automation playbooks and threat detection strategies based on threat models and TTPs from MITRE ATT&CK.
Qualifications
- Bachelor’s degree in computer science or a related field or equivalent work experience.
- Over 8 years of hands-on experience in incident response, threat hunting, and cyber investigations, including cloud.
- Experienced in cloud security, identity & access management, workload protection, and cloud security principles.
- Experience in product security investigations, vulnerabilities, secure coding, forensics, and intrusion detection.
- Expertise in network analysis, internals of Windows/Linux/macOS, web application security, and exploitation path analysis.
Preferred Qualifications
- Certificates, such as GCIH, GCFA, CISSP, AWS Security Specialty, or Azure Security Specialty.
- Experience in cloud security tools, for example, AWS GuardDuty, Azure Sentinel, and GCP Security Command Center.
- Knowledge in programming languages, such as Python, Go, or any other.
- Experience in securing Docker, Kubernetes, CI/CD, and AI environments.
- Knowledge in digital forensics, malware analysis, threat intelligence, and cyber defense.