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Thành phố Hồ Chí Minh, Việt Nam
Hybrid
We are looking for a hands-on Cloud Security Engineer to strengthen the security, resilience, and operational reliability of our infrastructure, CI/CD pipelines, cloud environments, and internal platforms.
This role goes beyond day-to-day security operations. You will help design and implement practical guardrails, tools, and processes that reduce vulnerabilities, prevent key leakage, improve security hygiene, and support broader governance and compliance goals across the organization.
In addition to owning core security responsibilities, this role should be broad enough in systems and operations to support cross-team collaboration and share workload when needed across cloud infrastructure, CI/CD, platform reliability, and other high-priority TechOps initiatives.
Identify, classify, track, and help resolve security findings across cloud environments, clusters, container images, endpoints, CI/CD pipelines, and related systems, focusing on high and critical risks.
Design, implement, and continuously improve security controls in CI/CD pipelines, including secret detection, CVE scanning, and policy-based gates, while standardizing rollout patterns across engineering teams.
Improve security across AWS and GCP environments, Kubernetes clusters, and registries by deploying scanning, sensing, and guardrail solutions to reduce attack surface at the runtime and infrastructure layers.
Propose and implement controls such as key rotation, access policies, RBAC, and fit-for-purpose authentication to remediate risks related to credential leakage, IAM misconfigurations, and excessive permissions.
Conduct periodic assessments, participate in incident handling, and build documentation or dashboards that improve security visibility and cross-team collaboration with TechOps, SRE, and stakeholders.
Professional Experience: 3+ years of hands-on experience in Cloud Security, DevSecOps, or Infrastructure Security roles.
GCP Security & Operations: Proven hands-on experience securing and managing GCP environments, including IAM, Service Accounts, GKE, Security Command Center, and Artifact Registry.
DevSecOps & Infrastructure: Strong background in SRE or Infrastructure Security, with expertise in CI/CD (GitLab, ArgoCD), Kubernetes, container security, and infrastructure-as-code.
Security Tooling & Remediation: Proficiency in automated scanning (CVE, secrets, images) and a track record of driving complex vulnerability remediation plans in production environments.
Core Fundamentals: Deep understanding of Linux systems, networking, RBAC, and zero-trust security patterns in a multi-cloud context.
AI/LLM Integration & Governance:
Experience implementing security controls for AI platforms (Vertex AI, Gemini), model-access governance, and securing LLM-based application workflows.
Experience with AI security testing, prompt injection assessment, LLM red-teaming, and governance controls for GenAI platforms in production environments.
Automation & Observability: Skilled in Python or Bash scripting and leveraging observability stacks (Datadog, Honeycomb) to build proactive security monitoring and reporting.
Multi-Cloud: Hands-on experience with AWS security and infrastructure controls.
Work on real-world security challenges across cloud, CI/CD, internal platforms, and AI workloads.
Create visible impact on infrastructure reliability, security hygiene, and governance maturity
Help TechOps build safer, more scalable, and more operationally effective platforms and controls