[HN] DevSecOps / MLOps Engineer (AI Platform)

VinSOC is looking for a DevSecOps / MLOps/ LLMOps Engineer to architect and scale cutting-edge cloud platforms at the intersection of AI and Cybersecurity.
📍 Location: Technopark Tower, Gia Lam, Hanoi
What You'll Do
Define and execute the end-to-end DevSecOps / MLOps/ LLMOps strategy (CI/CD, infrastructure, security, observability).
Architect, deploy, and operate cloud infrastructure (AWS) with focus on scalability, high availability (HA), and security.
Design and optimize CI/CD pipelines using Jenkins, GitLab CI, ArgoCD.
Standardize and manage Kubernetes environments (EKS / on-prem), including GPU workloads, networking, ingress, and autoscaling.
Implement Infrastructure as Code (Terraform, Ansible) for automated provisioning and operations.
Build and maintain monitoring & observability systems (Prometheus, ELK/OpenSearch, Datadog).
Drive DevSecOps best practices: SAST, DAST, container security, SBOM.
Optimize infrastructure cost following FinOps principles.
Collaborate closely with Engineering, AI, Data, and Security teams.
Develop runbooks, disaster recovery (DR) plans, and design high availability architectures.
What We're Looking For
Bachelor's degree in computer science, IT, or related fields
Experience
10+ years in DevOps / SRE / Platform Engineering.
Proven experience operating large-scale production systems (AI/GPU workloads is a strong advantage).
Technical Skills
Cloud & Infrastructure: Strong expertise in AWS / Azure / GCP; solid understanding of HA, DR, multi-region architecture.
Containers & Orchestration: Hands-on experience with Docker & Kubernetes (EKS/AKS/on-prem); strong understanding of networking (CNI, ingress); service mesh is a plus.
CI/CD: Experience with Jenkins, GitLab CI, ArgoCD; ability to design full pipelines
Infrastructure as Code: Strong hands-on with Terraform (required); Ansible/Helm is a plus.
Observability: Experience with Prometheus, Grafana, ELK/OpenSearch, Datadog; understanding of APM & distributed tracing (OpenTelemetry is a plus).
Security: Solid knowledge of DevSecOps practices (SAST, DAST, container security)
Experience building end-to-end MLOps/ LLMOps platforms
Familiarity with tools such as KServe, MLflow, Airflow, DVC.
Understanding of model reproducibility, GPU workload automation, and advanced deployment patterns (canary, A/B testing, shadow traffic).
Preferred
Experience building Internal Developer Platform (IDP).
Exposure to AI/LLM in DevOps (AIOps, AI Agents).
Knowledge of Kafka, ClickHouse, or data pipelines.
FinOps mindset and cost optimization experience.
Relevant certifications (AWS / Azure / GCP, CKA / CKAD).
Why Join VinSOC?
Work on cutting-edge platforms at the intersection of Cloud, AI, and Cybersecurity.
Lead impactful initiatives with high ownership and real business impact.
Opportunity to build and scale modern DevSecOps/MLOps platforms from the ground up.
Dynamic, fast-growing environment with top-tier engineering talent.