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Security Architect, AI Infrastructure
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Posted: 10/21/2026Security Engineer, Exposure and Vulnerability Management
FluidStackPosted 10/21/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $224,000 - $275,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in vulnerability management across diverse environments, including cloud, Kubernetes, and corporate endpoints, with a strong focus on automation and integration. Proficient in assessing and remediating vulnerabilities at scale while collaborating with cross-functional teams.
Highest-signal resume keywords
Vulnerability Management EngineeringProduction-Quality Automation SkillsVulnerability Prioritization Using KEV/EPSSFirmware and GPU Stack AssessmentIntegration of Scanners and Ticketing Systems
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own exposure and vulnerability management across external attack surface, cloud and Kubernetes, corporate endpoints, network infrastructure, and bare-metal fleet
- Extend exposure and vulnerability management across macOS, Windows, and Linux corporate fleets
- Assess unmanaged applications, SaaS, endpoint packages, browser extensions, and IDE extensions, driving remediation or removal
- Build asset inventory, scanner orchestration, deduplication, and prioritization engineering based on reachability and real-world exploitation
- Integrate remediation into existing team workflows through owned tickets, pipelines, and automated closure verification
- Remediate vulnerabilities directly by writing patch pull requests, hardening base images, fixing IaC modules, and shipping configuration changes
- Extend coverage to BMC and device firmware, GPU drivers, host images, and data center equipment
- Run intake for penetration-test findings and external reports
- Report exposure, including reachability, exploitation in the wild, accepted risk, and risk owners
- Work on security for frontier AI compute infrastructure at Fluidstack, which acquires power, designs and builds data centers, and operates AI compute infrastructure
Requirements
What you’ll need- Experience building vulnerability management as an engineering problem using pipelines, automation, and integrations
- Production-quality automation skills in Python or similar
- Experience integrating scanners, asset systems, and ticketing systems
- Experience prioritizing vulnerabilities using KEV, EPSS, reachability, and judgment
- Experience personally fixing vulnerabilities in codebases or infrastructure
- Experience driving remediation at scale through teams that do not report to you
- Ability to assess firmware, GPU stacks, BMC, or data center equipment
- Experience with vulnerability and exposure coverage on corporate endpoints and third-party software
- Bonus: experience with external attack surface management platforms
- Bonus: firmware or BMC security depth
- Bonus: CSPM/KSPM tooling
- Bonus: exploit development or reachability validation
- Bonus: endpoint management and patching tooling, including MDM and EDR
- Bonus: software inventory, extension, and supply chain risk experience
Benefits
Comp & perks- Equity for all full time roles
- Benefits package
- Meaningful equity / restricted stock units may be included in total compensation
- In-person office locations and potential U.S. remote option
- Opportunity to work on civilization-scale AI infrastructure
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingVulnerability RemediationPatch ManagementInfrastructure as Code (IaC)Asset Inventory EngineeringScanner OrchestrationExposure ManagementPenetration TestingRisk AssessmentConfiguration Changes
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
CSPM/KSPM ToolingMDMEDRExternal Attack Surface Management Platforms
Industry Keywords
Cloud SecurityKubernetes SecurityData Center EquipmentThird-Party Software ManagementSupply Chain Risk