Senior Software Engineer, Infrastructure

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.

Compensation & Benefits

Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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 to help teams detect and resolve failures.; Build CI/CD pipelines, release automation, environment management, and safe deployment workflows.; Write production code for infrastructure automation, backend services, and internal developer tools.

Requirements

At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems, with relevant technical studies or equivalent fundamentals.; Production experience with AWS and containerized systems, including Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.; Experience owning uptime, latency, incident response, CI/CD, deployment safety, and observability for high-availability platforms.; Strong backend engineering judgment across service architecture, APIs, databases, asynchronous systems, queues, and production failure modes.; AI/ML platform or software engineering experience, ideally 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.