Distributed Systems Security Engineer

Cerebras
Sunnyvale
Workplace: HybridFull timeFunction: CybersecurityExperience: 8-10 yearsSkills: ["Pragmatic","Results-driven","Attention to detail","Strong written communication","Flexibility"]

Build and harden security controls for distributed systems across on-prem and cloud clusters. You’ll define security requirements from secure boot to Kubernetes workload identity, develop threat models and trust boundaries, partner with platform/infrastructure/networking/hardware teams to close gaps, and bake secure design in early. The role also includes balancing rapid delivery with strong security standards and documenting security posture for both technical and non-technical audiences.

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FursaFursa
Cerebras
Cerebras
1 day ago

Distributed Systems Security Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and harden security controls for distributed systems across on-prem and cloud clusters. You’ll define security requirements from secure boot to Kubernetes workload identity, develop threat models and trust boundaries, partner with platform/infrastructure/networking/hardware teams to close gaps, and bake secure design in early. The role also includes balancing rapid delivery with strong security standards and documenting security posture for both technical and non-technical audiences.
Location: Sunnyvale
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Define core security requirements for distributed systems, from secure boot configurations to Kubernetes workload identity.
  • •Partner with platform, infrastructure, networking, and hardware teams to identify gaps and deliver end-to-end security solutions.
  • •Develop threat models for each part of the cluster stack, outlining trust boundaries and first- vs third-party mechanisms.
  • •Work with engineering leads and architects to bake secure design into early development.
  • •Document security posture and strategy for both technical and non-technical audiences from first- and third-party perspectives.

Key Requirements

  • •8–10 years of experience with heterogeneous compute environments, Kubernetes hardening, and networked system security.
  • •10+ years of experience with high performance clusters (HPCs).
  • •Strong hands-on engineering experience across on-prem and cloud environments.
  • •Ability to harden both modern Kubernetes deployments and bare metal instances in fragmented ecosystems.
  • •Familiarity with AWS, Kubernetes, and distributed compute systems (plus).
Experience:8-10 years
Skills:PragmaticResults-drivenAttention to detailStrong written communicationFlexibility
Tech Stack:AWSKubernetesK8sDistributed computeSecure bootHPC

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn