About the Role

We are seeking a skilled and proactive Detection & Response Engineer to join our security team. In this critical role, you will be responsible for detecting, investigating, and responding to security incidents across our cloud-native and AI-focused infrastructure. You will play a key part in safeguarding our innovative technologies and sensitive data.

Ideal Experience

• Monitor and analyze security alerts and logs to identify potential threats and anomalies
• Develop, implement, and maintain detection rules and correlation logic in our SIEM platform
• Conduct thorough investigations of security incidents, performing root cause analysis and impact assessments
• Lead incident response efforts, coordinating with relevant teams to contain and mitigate threats
• Create and maintain incident response playbooks and runbooks
• Perform regular threat hunting activities to proactively identify potential security risks
• Develop and refine metrics and reporting to track the effectiveness of detection and response capabilities
• Collaborate with other security teams to improve overall security posture and incident handling processes
• Stay current with emerging threats, attack techniques, and defensive strategies in the cloud-native and AI domains

Requirements

• Bachelor’s degree in Computer Science, Cybersecurity, or a related field
• 3-5 years of experience in security operations, incident response, or a similar role
• Strong understanding of cybersecurity principles, attack techniques, and defensive strategies
• Proficiency in at least one scripting language (e.g., Python, Rust) for automation and tool development
• Experience with SIEM platforms and log analysis tools
• Familiarity with cloud environments (e.g., AWS, GCP, Azure) and their security features
• Knowledge of network protocols, system administration, and common attack vectors
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to work effectively under pressure

Preferred Qualifications

• Relevant security certifications (e.g., GCIH, GCIA, SANS)
• Experience with threat intelligence platforms and their integration into detection processes
• Familiarity with AI/ML security implications, particularly those outlined in the OWASP LLM Top 10
• Knowledge of software supply chain security and SBOM analysis
• Experience with containerized environments and Kubernetes security

Bonus Skills

• Experience in building custom security tools or integrations to enhance detection and response capabilities
• Interest in leveraging AI to improve threat detection and automate response processes
• Contributions to open-source security projects or threat research
• Experience with digital forensics and malware analysis

Annual Salary Range

$180,000 - $440,000 USD