Zum Inhalt springen

Alle Stellen

Senior Software Engineer, Infrastructure

Clera · On site, Singapore, SG

100.000 - 170.000 USD / Jahr · Veröffentlicht am 11. Nov. 2026

Meine Bewerbung vorbereiten

Wir können Bewerbungen nicht für Sie an das Formular dieses Arbeitgebers senden. Wir bereiten Ihre Bewerbung aus Ihrem Lebenslauf vor, und Sie senden sie selbst ab.

Über die Stelle

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. WHAT YOU'LL DO - 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. WHAT WE'RE LOOKING FOR - 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. COMPENSATION & BENEFITS Base salary: $100,000 to $170,000 USD annually. Visa sponsorship is available. LOCATION On-site in Singapore, Singapore.

Ähnliche Stellen, auf die wir uns für Sie bewerben können