Applications Developer - Kubernetes

ELLIOTT MOSS CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A technology consulting firm in Singapore is seeking a Kubernetes Engineer to manage EKS clusters and deploy AI microservices. The ideal candidate will have deep experience with Kubernetes, AWS services, and GPU workload optimization. Join a collaborative team focused on scalable microservices architectures and container security.

Qualifications

• Deep hands-on experience with Kubernetes and Amazon EKS.
• Experience optimizing GPU workloads and managing AI/ML workloads in Kubernetes environments.
• Proficiency in AWS services, container security, and observability integrations.

Responsibilities

• Set up and manage EKS clusters or equivalent Kubernetes clusters across environments.
• Deploy and manage AI microservices using Kubernetes.
• Define and optimize container orchestration and GPU workload management.
• Implement and maintain Helm charts and service mesh configurations.
• Ensure container security and compliance.

Skills

Kubernetes

Amazon EKS

Helm

Service mesh (e.g., Istio, Linkerd)

Microservices architecture patterns

Container orchestration

GPU workloads

AI/ML workloads

AWS services

Container security

Observability integrations

Job description

Key Responsibilities

• Set up and manage EKS clusters (or equivalent Kubernetes clusters) across development, staging, and production environments.
• Deploy and manage AI microservices (embedding, rerank, guardrail services, etc.) using Kubernetes.
• Define and optimize container orchestration, scaling policies, and GPU workload management.
• Implement and maintain Helm charts, service mesh configurations, and network policies for microservices.
• Ensure container security, compliance, and resource optimization.
• Collaborate with the DevOps and application teams to design scalable microservices architectures.

Required Skills

• Deep hands-on experience with Kubernetes and Amazon EKS.
• Expertise in Helm, service mesh (e.g., Istio, Linkerd), and Kubernetes networking.
• Strong understanding of microservices architecture patterns and container orchestration.
• Experience optimizing GPU workloads and managing AI/ML workloads in Kubernetes environments.
• Proficiency in AWS services, container security, and observability integrations.