Senior Cloud Security Engineer: Zero Trust & AI (Remote)

Gympass; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Home office reimbursement

Paid time off and parental leave

Wellness program and learning

Job summary

Gympass is seeking a senior cloud security engineer to lead security strategy across multi-cloud environments (AWS and GCP) within its information security team based in Brazil. The role drives a Zero Trust architecture, embeds Shift-Left practices into engineering workflows, and pioneers security controls for emerging AI and LLM deployments.

This is a remote position offering flexible schedule and asynchronous collaboration with distributed teams.

Qualifications

• Multi-cloud security experience across AWS and GCP.
• Zero Trust posture with least-privilege identity and micro-segmentation.
• Security for containerized and serverless environments.
• Experience with SAST/DAST/SCA and IaC security in DevSecOps.
• AI security knowledge including guardrails and RAG pipelines.
• Strong English for async collaboration.

Responsibilities

• Architect and govern cloud security controls across AWS and GCP.
• Embed automated security testing and threat modeling into CI/CD.
• Define runtime security and compliance for Kubernetes, EKS, GKE, and serverless.
• Design AI/LLM guardrails for RAG pipelines and Model Context Protocols.
• Evaluate risks per OWASP Top 10 for LLMs and MITRE ATLAS.
• Identify, analyze, and report vulnerabilities across the ecosystem.

Skills

Multi-cloud security

Zero Trust

Kubernetes

Docker

Serverless security

Shift-Left

SAST

DAST

SCA

IaC security

AI security

English communication

Tools

AWS

GCP

Kubernetes

Docker

Job description

Gympass is seeking a senior cloud security engineer to lead security strategy across multi-cloud environments (AWS and GCP) within its information security team based in Brazil. The role drives a Zero Trust architecture, embeds Shift-Left practices into engineering workflows, and pioneers security controls for emerging AI and LLM deployments.

This is a remote position offering flexible schedule and asynchronous collaboration with distributed teams.