About the Role
Join an engineering team building infrastructure for AI and machine learning workflows. In this backend-focused role, you will own the reliability, scale, performance, and developer experience of core platform systems, helping teams build and operate services more effectively.
What You'll Do
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Own production uptime, latency, provisioning speed, infrastructure costs, and incident response for core platform services.
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Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
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Design platform and backend systems for scale, including capacity planning, autoscaling, queueing, backpressure, retries, cleanup jobs, and rollback paths.
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Improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows to support fast detection and resolution of failures.
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Build reliable CI/CD, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk.
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Write maintainable production code to automate infrastructure, improve backend services, and create internal tools.
What We're Looking For
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At least 2 years of experience in platform engineering, backend engineering, or infrastructure roles, with ownership of production cloud systems.
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Production experience with AWS and containerized systems, including Terraform, Kubernetes/EKS, Docker, networking, load balancers, and secrets management.
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Experience owning uptime, latency, and incident response, and building observability, CI/CD, release automation, and safe deployment workflows.
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Strong backend engineering judgment across service architecture, APIs, databases, asynchronous systems, and production failure modes.
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Experience with AI/ML platforms or software, or with data-heavy, workflow, marketplace, developer-tools, or enterprise systems.
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Familiarity with bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services is valuable.
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A track record of improving infrastructure efficiency and cloud costs through architecture, autoscaling, workload placement, caching, or cleanup systems.
Compensation & Benefits
Salary range: USD 150,000 to 250,000 annually. Visa sponsorship is available.
Location
On-site in Singapore, Singapore.
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