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Job Description
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
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Own uptime, latency, provisioning speed, infrastructure costs, and incident response for production platform services.
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Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
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Improve systems for scale through capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
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Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.
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Build CI/CD, release automation, environment management, and safe deployment workflows that improve developer productivity.
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Write production code to automate infrastructure, improve backend services, and build internal tools.
What We're Looking For
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At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.
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Strong technical fundamentals and production experience with AWS and containerized systems, especially Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
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Experience owning reliability and incident response, and building CI/CD, deployment automation, and observability systems.
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Sound backend judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.
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AI/ML platform or software engineering experience, ideally involving data-heavy systems, bursty workloads, long-running jobs, sandboxed execution, or distributed workers.
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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.
Listing closes 6 Dec 2026.
Apply directly through the original listing. The employer’s page has the latest application details.
