Cloud Security Analyst

Alignerr Corp.; Cape Town; Remote; ZAR 911,000 - 1,821,000; Full time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking a Cloud Security Analyst (AI Training) to analyze real-world cloud security scenarios and improve AI-driven reasoning about incidents. You will review IAM, networking, storage, and container security across AWS, GCP, and Azure, identifying risks and misconfigurations.

This remote, hourly contract offers 10–40 hours per week and freelance flexibility. Applicants should have 2+ years of production cloud experience and be capable of asynchronous, self-directed work while

Qualifications

• 2+ years of hands-on production experience with cloud environments.
• Solid understanding of cloud IAM, networking, storage, and container security concepts.
• Familiarity with real-world misconfigurations, blast radius analysis, and security incidents.
• Ability to reason clearly about risk exposure and business impact.
• Self-directed and comfortable working asynchronously on task-based assignments.

Responsibilities

• Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns.
• Review IAM, networking, storage, and container security issues with a practitioner's eye.
• 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 unfold.
• Provide structured, expert feedback that helps AI systems think like a seasoned cloud security engineer.

Skills

Cloud security fundamentals

IAM

Networking security

Storage security

Container security

Risk assessment

Tools

Wiz

Prisma

AWS Security Hub

GCP Security Command Center

Job description

About The Role

We're partnering with leading AI research labs to build smarter, safer AI systems — and we need practitioners who know how cloud environments actually fail in the real world.

Cloud Security Analyst (AI Training)

We're partnering with leading AI research labs to build smarter, safer AI systems — and we need practitioners who know how cloud environments actually fail in the real world. This isn't theoretical work. You'll bring your hands‑on experience with IAM misconfigurations, networking gaps, and storage vulnerabilities to help AI reason about cloud security the way seasoned professionals do. Your expertise will directly shape how frontier AI understands and evaluates cloud risk.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Analyze real-world cloud security scenarios across AWS, GCP, and Azure to identify risks and failure patterns
• Review IAM, networking, storage, and container security issues with a practitioner's eye
• 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 unfold
• Provide structured, expert feedback that helps AI systems think like a seasoned cloud security engineer

Who You Are

• 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, blast radius analysis, and security incidents
• Able to reason clearly about risk exposure and business impact
• Self‑directed and comfortable working asynchronously on task‑based assignments

Nice to Have

• Experience with cloud security tooling (e.g., Wiz, Prisma, AWS Security Hub, GCP Security Command Center)
• Background in incident response, penetration testing, or cloud compliance
• Familiarity with frameworks like MITRE ATT&CK for Cloud, CSA CCM, or CIS Benchmarks

Why Join Us

• Work directly on cutting‑edge AI projects with top research labs
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Make a meaningful impact on how AI understands and reasons about cybersecurity
• Potential for ongoing work and contract extension