Senior/Staff Infrastructure Security Engineer

Requirements:

  • 6+ years of experience in network, infrastructure or cloud security
  • Strong understanding of modern cloud architectures and deployment models (VMs, containers, serverless, Kubernetes)
  • Solid knowledge in networks, distributed systems and Linux systems engineering
  • Hands-on experience with network, VPN and Linux security
  • Understanding of Identity and Access Management (IAM) systems
  • Experience with security automation tools and scripting (e.g. Python, Bash, Go, etc.)
  • Experience in using and accessing security of Infrastructure as Code (Terraform)
  • Experience in hardening Linux based systems (apparmor, seccomp, etc.)
  • Experience in hardening Kubernetes

Nice to Haves:

  • Proficiency in securing AWS, GCP, or Azure environments
  • Experience in conducting threat-modeling sessions
  • Experience in designing, building, and maintaining Identity Aware Proxies or Bastion hosts
  • Experience in translating compliance and regulation requirements into technical specifications
  • Experience in exploiting vulnerabilities in Linux kernel, VMs, containers, and networks
  • Experience in securing bare metal workloads
  • Security certifications such as OSCP or CKS

What You'll Be Doing:

  • Design and implement security measures to protect cloud and on-premises infrastructure
  • Identify and remediate vulnerabilities in cloud environments, networks, and operating systems
  • Build and maintain cloud and infrastructure security tools
  • Perform security reviews, threat modeling and risk assessments of infrastructure components
  • Develop and maintain security guidelines for Network and SRE teams
  • Collaborate with Network and SRE teams to integrate security best practices into their processes and systems
  • Stay updated on the latest security threats, vulnerabilities, and mitigation techniques
  • Serve as a network and infrastructure security subject matter expert to other teams

Perks and Benefits:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
AI Summary ✨

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