Platform Engineer - AI Infra & Reliability (Singapore)

Clera Labs, Inc.; Singapore; On-site; SGD 128,000 - 218,000; Full time

Benefits offered by this job

Visa sponsorship available

Competitive base salary

Job summary

Clera Labs, Inc. is seeking a backend-focused Platform Engineer to own the reliability, scale, and observability of our AI infrastructure. You’ll build and operate AWS-based systems using Terraform, Kubernetes/EKS, Helm, Docker, and related tools, while driving incident response and deployment automation.

You’ll collaborate with a small engineering team in Singapore to improve performance, control costs, and deliver robust runbooks, dashboards, and on-call workflows that keep production healthy.

Qualifications

• 2+ years in platform/backend/infrastructure roles operating production cloud systems.
• Strong AWS and containerized systems experience (Terraform, Kubernetes/EKS, Docker).
• Experience with reliability, incident response, and deployment automation.
• Backend judgment across APIs, databases, and production failure modes.
• AI/ML platform or data-heavy systems experience is a plus.
• Ability to write maintainable production code and optimize infra efficiency.

Responsibilities

• Own uptime, latency, provisioning speed, infrastructure costs, and incident response.
• Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets.
• Improve systems for scale via capacity planning, autoscaling, queues, backpressure, and retries.
• Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows.
• Build CI/CD, release automation, environment management, and safe deployment workflows.
• Write production code to automate infrastructure and internal tooling.

Skills

AWS

Terraform

Kubernetes

Docker

CI/CD

Observability

Job description

Clera Labs, Inc. is seeking a backend-focused Platform Engineer to own the reliability, scale, and observability of our AI infrastructure. You’ll build and operate AWS-based systems using Terraform, Kubernetes/EKS, Helm, Docker, and related tools, while driving incident response and deployment automation.

You’ll collaborate with a small engineering team in Singapore to improve performance, control costs, and deliver robust runbooks, dashboards, and on-call workflows that keep production healthy.