Responsibilities
- Architect and implement security frameworks across blockchain platforms, AI workloads, Kubernetes, and cloud infrastructure.
- Define and own the security roadmap, ensuring alignment with business objectives and regulatory requirements.
- Establish identity and access management (IAM) strategies, including secrets management, VPN/identity solutions, and Zero Trust principles.
- Establish trust boundaries and enforce appropriate controls, including workload isolation, access restrictions, and data protection measures.
- Design and oversee cloud (AWS) security architecture and enforce least-privilege access.
- Implement Kubernetes security controls, including Pod Security Standards, network segmentation, and workload isolation.
- Lead the creation of incident response playbooks, monitoring dashboards, and alerting mechanisms for blockchain, AI, and cloud environments.
- Conduct regular security assessments, penetration tests, and threat modeling to validate platform resilience.
- Collaborate with blockchain architects, AI engineers, DevOps, and business teams to ensure security is embedded across all phases of development and operations.
- Stay current with emerging security standards, technologies, and threats in blockchain, AI, and cloud ecosystems.
Requirements
- Expert-level professional with 10+ years of experience in information security and at least 5+ years in a Security Architect role.
- Proven expertise in security architecture design for cloud, blockchain, AI/ML, and distributed systems.
- Strong knowledge of cloud security (AWS, Azure, or GCP), including IAM, audit logging, monitoring, and least privilege enforcement.
- Deep understanding of blockchain security principles, including validator/node protection, consensus mechanisms, and key management.
- Solid understanding of cryptography, PKI, zero-knowledge proofs, and security best practices.
- Extensive experience with Kubernetes and container security, including pod security standards, workload isolation, network segmentation, and admission controls.
- Proven ability to secure CI/CD pipelines and the software supply chain, including vulnerability scanning, artifact signing, and code integrity enforcement.
- Familiarity with monitoring, logging, and incident response frameworks such as Prometheus and Grafana.
- Experience in securing AI/ML workloads, covering model integrity, data confidentiality, GPU resource isolation, and inference security.
- Proficiency with automation and scripting in Python, Go, or Rust to build and integrate security controls.
Nice to Have
- Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Cybersecurity, or Information Security.
- Certifications such as CISSP, CISM, CKA/CKS, or Cloud Security Specialty are a strong plus.
Compensation
Competitive compensation, with performance-based upside where applicable to the role.
Work Arrangement
Remote (Worldwide)
Team
Structure: Collaboration with blockchain architects, AI engineers, DevOps, and business teams
Additional Information
- Employment Compliance and Confidentiality: All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee’s country of residence.
- As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to your jurisdiction.
- Employment Structure: The position is offered on either an employee or contractor basis, depending on the location and role.
- Individuals will receive payment via direct deposit on a monthly basis.
- Compensation: Salaries are paid in fiat currency via direct deposit on a monthly schedule, with payments issued on the first business day of each month.
- Probationary Period: All new employees will undergo a 90-day probationary period, which serves as a mutual evaluation phase. During this time, both the employee and ChainGPT can assess fit, performance, and long-term alignment with the role and company.
