Description
Our Security Engineering team advances Security Operations through applied AI, automation, cloud technologies, and observability.
Support and maintain AI-enabled security platforms, cloud services, integrations, and automation workflows used by the Security Operations team. Monitor service health and security telemetry, troubleshoot operational issues, and improve the reliability and observability of security services. Develop scripts and automation that apply AI-assisted capabilities to reduce manual work and support vulnerability management and incident response. Partner with security, cloud, infrastructure, and application teams to resolve issues and improve operational processes.
Minimum qualifications
- Bachelor’s degree plus 5 years of related experience, or Master’s degree plus 3 years of related experience in security, systems, cloud, or infrastructure operations.
- Experience supporting vulnerability management, security monitoring, incident detection, incident response, or security platforms, including AI-enabled or automated capabilities.
- Proficiency with scripting or automation tools, such as Python, Bash, or JavaScript.
- Experience supporting Linux systems and cloud environments, including troubleshooting and service operations.
- Familiarity with observability practices and tools, including logs, metrics, dashboards, alerts, and operational runbooks.
Preferred qualifications
- Experience with AI-enabled security platforms such as Splunk, or similar security analytics and automation tools.
- Experience applying AI-assisted analysis, automation, or workflow capabilities to security operations.
- Experience with APIs, webhooks, JSON, YAML, authentication mechanisms, and system integrations.
- Familiarity with Terraform, Ansible, Git, CI/CD pipelines, or configuration-management tools.
- Relevant certifications such as AWS, Azure, Splunk, CCNP Security, CISSP, or comparable technical training.