Careers/Engineering
Senior DevOps / Platform Engineer
Build and maintain production Kubernetes infrastructure, CI/CD pipelines, and cloud-native deployment systems. Own the reliability and scalability of our multi-service platform.
About the role
We are hiring an experienced DevOps and Platform Engineer to build and maintain our production infrastructure. You will own Kubernetes deployments, CI/CD automation, observability, and cloud infrastructure across environments.
You are responsible for the reliability, security, and scalability of a multi-service platform. You work with backend and data engineers on deployments, write the infrastructure as code, and keep the operational foundation in order.
Responsibilities
Kubernetes & Container Orchestration
- Design, deploy, and maintain production Kubernetes clusters across cloud environments (GKE, EKS, AKS).
- Implement Helm charts and Kubernetes manifests for complex multi-service deployments.
- Configure and optimize Kubernetes resources (deployments, services, ingress, secrets, configmaps).
- Implement auto-scaling, resource limits, and capacity planning for production workloads.
- Manage stateful workloads including databases, message queues, and persistent storage.
ML & Inference Infrastructure
- Operate KubeRay clusters (RayCluster, RayJob, RayService) for distributed training and inference workloads.
- Manage GPU scheduling, node pools, and driver stacks; integrate gang scheduling (Kueue, NVIDIA KAI) where needed.
- Support model-serving deployments running vLLM, Ray Serve, or TGI on Kubernetes with horizontal autoscaling.
- Design GPU utilisation dashboards and cost-per-token metrics for platform and AI teams.
- Partner with ML and AI Full-Stack engineers on capacity planning and model rollout automation.
CI/CD & Automation
- Build and maintain CI/CD pipelines using GitHub Actions, ArgoCD, or similar tools.
- Implement GitOps workflows for infrastructure and application deployments.
- Automate testing, security scanning, and quality gates in deployment pipelines.
- Design blue-green, canary, and rolling deployment strategies for zero-downtime releases.
- Build developer tooling and self-service infrastructure provisioning.
Observability & Reliability
- Implement comprehensive monitoring with Prometheus, Grafana, and alerting systems.
- Build distributed tracing and logging infrastructure (OpenTelemetry, ELK stack, or similar).
- Define and monitor SLOs/SLIs for critical services and infrastructure.
- Lead incident response, post-mortems, and reliability improvements.
- Implement backup, disaster recovery, and business continuity procedures.
Infrastructure & Security
- Manage cloud infrastructure using Infrastructure-as-Code (Terraform, Pulumi, or similar).
- Implement network policies, security groups, and access controls.
- Configure secrets management and secure credential handling.
- Ensure compliance with security best practices and audit requirements.
- Optimize cloud costs and resource utilization across environments.
Qualifications
Must-Have Technical Expertise
- 5+ years of DevOps/SRE/Platform engineering experience in production environments.
- Expert-level Kubernetes knowledge including cluster administration and troubleshooting.
- Strong experience with Helm, Kustomize, or similar Kubernetes templating tools.
- Production experience with CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD).
- Proficiency with Infrastructure-as-Code tools (Terraform, Pulumi, CloudFormation).
- Proficiency with AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or similar).
Cloud & Systems Skills
- Experience with major cloud providers (GCP, AWS, or Azure) and their managed services.
- Strong Linux systems administration and troubleshooting skills.
- Experience with container runtimes, networking, and storage systems.
- Understanding of database operations (PostgreSQL, Redis) in containerized environments.
- Knowledge of security best practices for cloud-native applications.
Preferred/Bonus
- Hands-on experience with KubeRay, Ray on GKE, or equivalent distributed-compute platforms on Kubernetes.
- Experience deploying data orchestration platforms (Dagster, Airflow) on Kubernetes.
- Knowledge of service mesh technologies (Istio, Linkerd).
- Familiarity with FinOps practices and cloud cost optimization, especially GPU spend.
- Experience with multi-tenant infrastructure and environment isolation.
- Strong Vietnamese and English communication skills.
Benefits
- Competitive salary and performance incentives
- Work on production infrastructure at scale
- Training budget for cloud-native technologies
- Flexible work arrangements
- A small, senior engineering team with direct code review
Apply
Apply for Senior DevOps / Platform Engineer.
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