About the Role
Join a small engineering team building infrastructure for AI model training and evaluation. In this backend-focused role, you will own the reliability, scale, performance, and developer experience of core platform systems.
What You’ll Do

• Own uptime, latency, provisioning speed, infrastructure costs, and incident response for production platform services.

• Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.

• Improve systems for scale through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.

• Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.

• Build CI/CD, release automation, environment management, and safe deployment workflows that improve developer productivity.

• Write production code to automate infrastructure, improve backend services, and build internal tools.

What We’re Looking For

• At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.

• Strong technical fundamentals and production experience with AWS and containerized systems, especially Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.

• Experience owning reliability and incident response, and building CI/CD, deployment automation, and observability systems.

• Sound backend judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.

• AI/ML platform or software engineering experience, ideally involving data-heavy systems, bursty workloads, long-running jobs, sandboxed execution, or distributed workers.

• Ability to write maintainable production code and improve infrastructure efficiency through architecture, autoscaling, workload placement, caching, or cleanup systems.

Compensation & Benefits
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.

About the Role
Join a small engineering team building infrastructure for AI model training and evaluation. In this backend-focused role, you will own the reliability, scale, performance, and developer experience of core platform systems.
What You’ll Do

• Own uptime, latency, provisioning speed, infrastructure costs, and incident response for production platform services.

• Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.

• Improve systems for scale through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.

• Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.

• Build CI/CD, release automation, environment management, and safe deployment workflows that improve developer productivity.

• Write production code to automate infrastructure, improve backend services, and build internal tools.

What We’re Looking For

• At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.

• Strong technical fundamentals and production experience with AWS and containerized systems, especially Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.

• Experience owning reliability and incident response, and building CI/CD, deployment automation, and observability systems.

• Sound backend judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.

• AI/ML platform or software engineering experience, ideally involving data-heavy systems, bursty workloads, long-running jobs, sandboxed execution, or distributed workers.

• Ability to write maintainable production code and improve infrastructure efficiency through architecture, autoscaling, workload placement, caching, or cleanup systems.

Compensation & Benefits
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.