What You'll Do
Lead the design and deployment of security architectures spanning cloud platforms, blockchain networks, AI workloads, and Kubernetes environments. Define and maintain a forward-looking security roadmap that supports both technical and business goals while meeting compliance standards.
Develop and enforce identity and access management policies, integrating secrets management, secure authentication systems, and Zero Trust models. Establish clear trust boundaries through strict access controls, workload isolation, and data protection protocols.
Design secure AWS cloud infrastructure with an emphasis on least-privilege access, audit logging, and continuous monitoring. Implement Kubernetes security best practices, including Pod Security Standards, network policies, and admission controllers to harden containerized environments.
Build and maintain incident response frameworks tailored to blockchain and AI systems, including detection logic, alerting workflows, and monitoring dashboards. Conduct regular threat modeling, penetration testing, and security validation exercises to proactively identify risks.
Partner with blockchain developers, AI engineers, and DevOps teams to integrate security throughout the development lifecycle. Stay ahead of evolving threats by tracking advancements in cryptography, distributed systems, and cloud-native security technologies.
Requirements
- 10+ years in information security, with at least 5 years specifically in security architecture roles
- Demonstrated experience designing secure systems for cloud, blockchain, AI/ML, and distributed architectures
- In-depth knowledge of AWS, Azure, or GCP security controls, including IAM, monitoring, and audit trails
- Strong grasp of blockchain security, including consensus mechanisms, node hardening, and cryptographic key management
- Proficiency with container and Kubernetes security, covering pod policies, network segmentation, and runtime protection
- Experience securing CI/CD pipelines, including artifact signing, vulnerability scanning, and supply chain integrity
- Familiarity with Prometheus, Grafana, and other observability tools for security monitoring
- Hands-on experience protecting AI/ML systems, including model security, data privacy, and GPU resource controls
- Programming and automation skills in Python, Go, or Rust for developing security tooling
Benefits
- Remote-first role with flexible scheduling, emphasizing results over presence
- Competitive salary paid monthly in fiat currency, with performance-linked incentives
- Opportunity to work directly with core engineering teams on cutting-edge AI and Web3 technologies
- Autonomy in a fast-paced environment with clear ownership and minimal oversight
- Access to tools, structured onboarding, and pathways for professional growth
