Senior Cloud & AI Security Engineer (Remote)

Robots and Pencils; United States; Remote; USD 116,000 - 161,000; Full time

Job summary

Robots & Pencils is seeking Staff Security Engineers to lead security across cloud applications and AI systems for client engagements. You will define security architecture, drive threat modeling, and own the most critical security problems end-to-end.

You’ll mentor engineers, partner with engineering and leadership, and ensure systems are secure, reliable, and scalable in AWS, GCP, Kubernetes, and AI/LLM workloads.

Qualifications

• 7+ years in security or software engineering with 3+ years leading application and cloud security.
• 4+ years in cloud platform engineering or infrastructure production engineering.
• Demonstrated leadership and mentoring experience across teams.
• Strong stakeholder communication across technical and non-technical audiences.
• Experience with AI-forward tools such as Claude and Cursor.
• Excellent problem-solving and judgment when requirements and risks are unclear.

Responsibilities

• Lead security architecture across cloud infra, apps, and AI workloads.
• Mentor junior engineers and grow security capability.
• Define security standards and own high-stakes pieces of work.
• Build automation for evidence collection and compliance artifacts.
• Conduct threat modeling and security reviews for systems.
• Embed security in CI/CD pipelines and tooling.
• Secure AI/LLM-powered applications and data flows.
• Query data across Athena/BigQuery/Presto for investigations.

Skills

Security architecture

Cloud security

Kubernetes security

Production Python

Terraform

CI/CD security

Compliance & audit

AI/LLM security

SQL for investigations

Tools

AWS

GCP

Kubernetes

Terraform

Python

CI/CD tooling

Job description

Robots & Pencils is seeking Staff Security Engineers to lead security across cloud applications and AI systems for client engagements. You will define security architecture, drive threat modeling, and own the most critical security problems end-to-end.

You’ll mentor engineers, partner with engineering and leadership, and ensure systems are secure, reliable, and scalable in AWS, GCP, Kubernetes, and AI/LLM workloads.