Cloud Security Analyst

Summary

Alignerr partners with leading AI research teams to build and train advanced AI models, focusing on cloud security and modern infrastructure. The Cloud Security Analyst will apply hands-on cloud security knowledge to influence AI reasoning about security incidents and misconfigurations.

Responsibilities

• Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
• Review and assess IAM, networking, storage, and container security issues
• Classify security gaps, misconfigurations, and cloud-related failures based on real-world impact
• Validate and improve AI-generated security reasoning so it accurately reflects how cloud incidents actually unfold
• Help ensure AI systems reason correctly about blast radius, risk exposure, and business impact

Skills

• 2+ years of hands-on experience working with cloud environments in production
• Solid understanding of cloud IAM, networking, storage, and container security concepts
• Familiarity with real-world misconfigurations and security incidents across major cloud providers
• Able to reason clearly and precisely about security risk, blast radius, and downstream business impact
• Strong written communication skills for structured feedback and documentation
• Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Microsoft Defender for Cloud)
• Background in penetration testing, threat modeling, or incident response
• Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
• Prior experience contributing to AI training or evaluation projects

Qualifications

Must Haves

• 2+ years of hands-on experience working with cloud environments in production
• Solid understanding of cloud IAM, networking, storage, and container security concepts
• Familiarity with real-world misconfigurations and security incidents across major cloud providers
• Able to reason clearly and precisely about security risk, blast radius, and downstream business impact
• Strong written communication skills for structured feedback and documentation

Nice to Haves

• Experience with cloud security tooling (e.g., AWS Security Hub, GCP Security Command Center, Microsoft Defender for Cloud)
• Background in penetration testing, threat modeling, or incident response
• Familiarity with compliance frameworks such as CIS Benchmarks, SOC 2, or NIST
• Prior experience contributing to AI training or evaluation projects

Benefits

• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Contribute meaningful work that shapes how AI understands cloud security
• Potential for ongoing work and contract extension