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Senior Platform Engineer (AI/ML Infrastructure)

clera • Singapore
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Build and maintain production-grade cloud infrastructure for AI model training/evaluation. Own uptime, latency, cost optimization, and incident response for core platform services. Requires 2+ years in platform engineering, AWS, Kubernetes, and observability.

Key Highlights
Own production uptime, latency, and incident response for AI/ML platform services
Build and maintain AWS infrastructure with Terraform, Kubernetes/EKS, and Docker
2+ years of platform engineering or backend experience required
Key Responsibilities
Own production uptime, latency, and incident response for core platform services
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, and other tools
Improve platform architecture through capacity planning, autoscaling, and observability tools
Develop CI/CD pipelines, release automation, and deployment workflows
Write production code for infrastructure automation and backend services
Technical Skills Required
AWS Kubernetes Infrastructure Automation
Benefits & Perks
Visa sponsorship available
Base salary: $100,000 to $170,000 USD annually
Nice to Have
AI/ML platform experience
Experience with data-heavy systems and distributed workloads
Cost optimization and engineering productivity improvements

Job Description

About the Role

Join a small engineering team building infrastructure for AI model training and evaluation. You will own the reliability, scale, performance, and developer experience of core platform systems, helping the team build and operate them efficiently.

What You'll Do

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