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Security Engineer, Offensive Security

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Security Engineer, Offensive Security in USA new

  • Fluidstack
  • Full time
  • Email
  • Remote

Responsibilities

  • Run red and purple team operations emulating advanced threat actors across networks, data center OT, and applications.
  • Penetration-test GPU-cluster networks, including frontend and backend fabrics, out-of-band management, site connectivity, segmentation, and tenant isolation.
  • Test data center OT systems such as building management, power monitoring, cooling controls, and IT/OT boundaries in coordination with site operations.
  • Assess customer-facing consoles, public APIs, identity and access controls, internal applications, employee-built applications, and CI/CD pipelines.
  • Partner with security and engineering teams on AI-specific attack scenarios and contribute to AI-assisted offensive testing tools and workflows.
  • Present clear, actionable findings to technical and executive audiences and help turn recurring findings into secure defaults, detections, and hardening.

Requirements

  • Years of hands-on experience in red teaming and offensive security operations.
  • Deep expertise in at least two of enterprise and data center networks, OT/ICS, web and API applications, cloud platforms, Kubernetes, and CI/CD pipelines.
  • Experience finding novel attack paths and chaining vulnerabilities across network, application, and identity boundaries.
  • Experience running red team operations and adversary simulations against well-defended environments.
  • Hands-on experience identifying authentication, authorization, and multi-tenant flaws in web applications and APIs.
  • Ability to write quality code in Python, Go, or similar languages and build custom tooling when needed.
  • Experience using AI, LLMs, and agents in offensive engagements for reconnaissance, vulnerability discovery, exploit development, or attack-path analysis.
  • Ability to produce findings that drive remediation and collaborate with blue teams on detections and hardening.
  • Preferred experience includes state-nexus threat models, data center facility systems, high-performance networking, AI/ML system testing, detection engineering, SIEM, or EDR.

Benefits

  • Fluidstack states that it is committed to pay equity and transparency.
  • The role focuses on securing frontier AI compute infrastructure and offers broad end-to-end ownership in a high-autonomy, high-intensity operating environment.

Salary: $224k - $275k/yr

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...

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