Job
Source description available
Source: Clera (ashby) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
Description from the source
The source description is formatted below for discovery. The provider owns the original wording and may change its requirements or close applications.
EmploymentFull-time
Overview
ABOUT THE ROLE
Full job description
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.
Tips for this job
Practical JobOpportunity guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Original authoritative source
JobOpportunity.info helps you discover and organize source listings. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Apply through JobOpportunity →