Clera
Singapore
Platform Engineer
- AI
- AWS
- Cloud
- Docker
AI Summary
Join a small engineering team to build and maintain AI model training infrastructure. Focus on reliability, scalability, performance, and developer experience for core platform systems. Requires 2+ years in platform engineering, AWS, and containerized systems with ownership of uptime, incident response, and observability.
Key Highlights
Own production uptime, latency, and incident response for AI/ML infrastructure
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, and Docker
Experience with CI/CD pipelines, observability, and cost optimization
Key Responsibilities
Ensure production uptime, latency, and incident response for core platform services
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, and Docker
Improve platform architecture through capacity planning, autoscaling, and observability tools
Develop CI/CD pipelines, release automation, and safe deployment workflows
Write production code for infrastructure automation and backend services
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Technical Skills Required
Benefits & Perks
Base salary: $100,000 to $170,000 USD annually
Visa sponsorship available
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Nice to Have
AI/ML platform experience
Experience with data-heavy systems and distributed workers
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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