About the Role
Join a small engineering team building infrastructure for AI and machine learning platforms. You will own the reliability, scale, performance, and developer experience of core systems that support demanding workloads.
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.
Design systems for scale, including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths.
Improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to speed up detection and resolution of production issues.
Build CI/CD pipelines, release automation, environment management, and safe deployment workflows.
Write production code to automate infrastructure, improve backend services, and build internal developer tools.
What We're Looking For
At least 2 years of experience in platform, backend, or infrastructure engineering, operating production cloud infrastructure.
Strong technical fundamentals and production experience with AWS and containerized systems, including Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
Experience owning reliability and incident response, and building CI/CD, observability, and safe release workflows.
Sound backend engineering judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.
AI/ML platform or software engineering experience, with relevant work on data-heavy platforms, bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services.
Experience improving cloud costs and developer productivity through architecture, autoscaling, workload placement, caching, cleanup systems, or internal tools.
Compensation & Benefits
Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.