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Urgent! Container Engineer Job Opening In Singapore, Singapore – Now Hiring ELLIOTT MOSS CONSULTING PTE. LTD.

Container Engineer



Job description

Job Summary

We are seeking a highly skilled Kubernetes / Container Engineer to design, build, and optimize our containerized infrastructure for AI-driven microservices.

The ideal candidate will have deep experience with Amazon EKS, service mesh, and microservice deployment patterns, ensuring scalable, secure, and high-performing workloads across multiple environments.

Key Responsibilities:

EKS Cluster Management:

  • Set up, configure, and maintain Amazon EKS clusters across development, staging, and production environments.

  • Implement robust monitoring, scaling, and upgrade strategies for cluster health and performance.

AI Microservices Deployment:

  • Deploy and manage containerized AI microservices (e.g., embeddings, rerankers, guardrails).

  • Optimize GPU-enabled workloads within Kubernetes for model serving and inference.

Container Orchestration & Scaling:

  • Define and implement autoscaling policies (HPA, VPA, cluster autoscaler).

  • Manage container scheduling, resource allocation, and performance tuning.

Service Mesh & Networking:

  • Configure and operate service mesh solutions (e.g., Istio, Linkerd) for observability, security, and traffic management.

  • Manage network policies, ingress/egress controllers, and secure communication between services.

Helm & Configuration Management:

  • Develop and maintain Helm charts for application deployment and configuration standardization.

  • Automate deployment pipelines with GitOps / CI-CD practices.

Container Security & Compliance:

  • Enforce image scanning, runtime security, and least-privilege access across clusters.

  • Implement best practices for secrets management and container isolation.

Architecture & Optimization:

  • Collaborate with developers and AI engineers to design microservices architectures optimized for reliability and cost.

  • Contribute to system design decisions, performance benchmarking, and capacity planning.

Required Skills & Experience:

  • Deep hands-on experience with Kubernetes and Amazon EKS (multi-cluster and multi-environment setups).

  • Strong understanding of container orchestration, Helm, and service mesh (e.g., Istio, Linkerd).

  • Proven experience deploying AI or ML microservices (especially GPU workloads).

  • Knowledge of Kubernetes networking, security best practices, and autoscaling mechanisms.

  • Proficiency in Docker, YAML, Terraform, and CI/CD tools (e.g., ArgoCD, Jenkins, GitHub Actions).

  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry).

  • Strong grasp of microservices architecture patterns and DevOps methodologies.

  • Experience with KServe, Kubeflow, or other AI model deployment frameworks.

  • Familiarity with AWS infrastructure (EC2, IAM, VPC, ALB/NLB, CloudWatch).

  • Scripting experience in Python, Bash, or Go for automation.

Education:

Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience


Required Skill Profession

Other General



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