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