Security Engineer, Infrastructure
Fluidstack7 months ago
Base Salary
$182k - $224k/yr
Responsibilities
- Own the systems and pipelines that power the security program across IT, OT, cloud, bare metal, and physical security environments.
- Design, deploy, and operate security tooling, including log-source onboarding, detection engineering, alert tuning, and pipeline management.
- Architect and maintain security data infrastructure for telemetry ingestion, normalization, enrichment, and routing.
- Build integrations across EDR, vulnerability management, SOAR, CASB, and identity platforms.
- Embed security into software development through CI/CD pipeline security, secrets management, artifact integrity, and security-relevant change reviews.
- Build automated security-data collection and quality-validation tooling and partner with infrastructure, network, and IT teams to maintain complete instrumentation across facilities.
Requirements
- Experience designing, implementing, and maintaining security infrastructure and tooling, preferably including building a modern security stack from the ground up.
- Fluency in security system architecture, cloud technologies, and virtualization technologies.
- Experience building and operating security data pipelines involving ingestion, normalization, enrichment, and routing across diverse sources.
- Experience integrating security tools such as EDR, vulnerability management, SOAR, and identity platforms.
- Experience embedding security into CI/CD and collaborating across technical teams to maintain complete and accurate instrumentation.
- Preferred experience with SIEM and security data-lake architecture, detection engineering, OT/ICS security, infrastructure-as-code, and pipeline automation.
Benefits
- Competitive total compensation package including salary and equity.
- Retirement or pension plan in line with local norms.
- Health, dental, and vision insurance.
- Generous paid time off in line with local norms.
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.