C

Platform Engineer

clera • Singapore
Visa Sponsorship
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Join a small engineering team building infrastructure for AI model training and evaluation. Own reliability, scale, performance, and developer experience of core platform systems including AWS infrastructure using Terraform, Kubernetes/EKS, and CI/CD pipelines. Build dashboards, alerts, SLOs, and production code for backend services, automation, and internal developer tools.

Key Highlights
Own production uptime, latency, and incident response for core platform services
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, and Docker
Develop observability (dashboards, alerts, SLOs) and CI/CD pipelines
Minimum 2 years in platform/backend engineering with AWS and containerized systems
On-site in Singapore; base salary $100K–$170K USD with visa sponsorship
Key Responsibilities
Own production uptime, latency, provisioning speed, infrastructure costs, and incident response for core platform services
Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management
Improve platform architecture through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths
Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows
Build CI/CD pipelines, release automation, environment management, and safe deployment workflows
Write production code for infrastructure automation, backend services, and internal developer tools
Technical Skills Required
AWS Kubernetes/EKS Terraform
Benefits & Perks
Visa sponsorship available
Nice to Have
AI/ML platform or software engineering experience with data-heavy systems, distributed workers, bursty workloads, long-running jobs, sandboxed execution, or high-concurrency services
Experience reducing cloud costs and improving engineering productivity through architecture, automation, workload placement, caching, or cleanup systems

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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