One Mount Group

Tóm tắt công việc

We are looking for a Senior AI Platform Engineer to architect and maintain the backbone of our AI training and inference clusters. You will be responsible for the entire lifecycle of our infrastructure—from automated provisioning of GPU nodes to deep observability of distributed systems. In this role, you will ensure our platform is resilient, scalable, and optimized for the unique demands of large-scale AI workloads.

KEY RESPONSIBILITIES

• Kubernetes Orchestration: Design, deploy, and manage production-grade Kubernetes clusters (using EKS, GKE, or bare-metal) specifically optimized for high-performance AI computing.
• Observability & Telemetry: Build and scale comprehensive monitoring stacks using Prometheus, Grafana, and LangSmith. Implement distributed tracing and logging to provide deep visibility into model performance and infrastructure health.
• Infrastructure as Code (IaC): Automate the provisioning and configuration of global infrastructure using tools like Terraform, Ansible, or Pulumi.
• MLOps Integration: Collaborate with AI Engineers to integrate Kubeflow, Airflow, or SageMaker into the platform , enabling seamless model training and deployment pipelines.
• System Reliability: Implement self-healing mechanisms, automated scaling, and robust CI/CD pipelines to ensure 99.9% uptime for critical AI microservices.
• Security & Governance: Manage identity, access, and data compliance within regulated and large-scale environments.

Salary & Allowances

• 13-month salary with annual performance bonus, project incentives, sales incentives (based on position)
• Lunch allowance: 730.000 VND/month
• Special occasion bonus: 3.000.000 - 5.000.000 VND/year
• Annual leaves: Up to 20 days/year (based on levels)
• Health: Social insurance, premium health insurance, yearly health check
• Laptop, screen and other needed facilities/ accounts/ tools for work

Career Growth

• Yearly salary review and promotion
• Diverse career path: Management or Expert and functions rotation opportunity
• Free learning sources in Udemy, Coursera, O'relly platforms; internal workshop, certification sponsorship, and exclusive mentoring from C-levels
• Recognition and awards at team and organizational levels.

Working Environment

• Open & collaborative working space foster both individual focus and teamwork activities
• Young, dynamic, and collaborative working atmosphere
• Unwind zones: gaming, table tennis, yoga, gyms, bath rooms, sleep corner.
• Quarterly/yearly teambuilding & engaged internal events.

• Cloud & DevOps: Strong background in Docker and Linux system administration.
• Programming: Proficiency in Python, Go, Rust for building custom automation tools and operators.
• Experience: 4+ years of experience (or equivalent) in Platform or Site Reliability Engineering (SRE), ideally within AI or data-heavy organizations.
• Preferred Skills
• Kubernetes Mastery: Deep expertise in K8s internals, CNI, CSI, and managing complex workloads (StatefulSets, Operators).
• Telemetry Expert: Proven experience in building Observability frameworks (logging, metrics, tracing) for distributed systems.
• Experience with vLLM, SGLang or Triton Inference Server inference engines.
• Knowledge of big data processing frameworks like Apache Spark or BigQuery.
• Background in high-performance networking (RDMA, InfiniBand) is a major plus.