ABOUT THE ROLE
Join an engineering team building infrastructure for AI/ML training and evaluation platforms. You will own the reliability, scalability, performance, and developer experience of core systems that support high-concurrency workloads.
WHAT YOU'LL DO
- Own production uptime, latency, infrastructure provisioning, cloud costs, and incident response for core services.
- Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
- Improve platform and backend systems through capacity planning, autoscaling, queueing, backpressure, retries, cleanup jobs, and safe rollback paths.
- Develop dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to help teams detect and resolve failures quickly.
- Build CI/CD pipelines, release automation, environment management, and deployment workflows, along with production code and internal tools that improve engineering productivity.
WHAT WE'RE LOOKING FOR
- At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles operating production cloud systems.
- Strong production experience with AWS, containers, Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
- Experience owning reliability and incident response, and building CI/CD, observability, and safe deployment systems.
- Solid backend engineering judgment across service architecture, APIs, databases, and asynchronous systems.
- AI/ML platform or software engineering experience, ideally with data-heavy workloads, distributed workers, long-running jobs, or high-concurrency services.
- A record of writing production code and improving infrastructure efficiency, scaling, or cloud costs.
COMPENSATION & BENEFITS
Annual salary: USD 100,000 to USD 170,000. Visa sponsorship is available.
LOCATION
On-site in Singapore, Singapore.