Senior Software Engineer, Infrastructure

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, Code. Build, 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.