Infrastructure Engineer

• Build the data pipelines that ingest, transform, and curate large-scale scientific output into efficient, training-ready formats on object storage.
• Make that data fast to query and cheap to reuse, so analysis and downstream jobs aren’t left waiting on it.
• Build the ML data pipelines for training, fine-tuning, and reinforcement learning: curation, deduplication, formatting, and the evaluation sets that keep training honest.
• Catch bad data early, with validation and quality gates that check schema, distribution, and completeness before it reaches a model.
• Package, version, and deploy models across development, staging, and production, with registries and reproducible builds that keep every deployment traceable.
• Run models through CI/CD and serving workflows for batch, online, and asynchronous inference, with safe rollout, rollback, and quick diagnosis when something breaks.
• Monitor deployed models for drift, degradation, latency, and anomalies, with automated regression checks that flag trouble before users do.
• Stand up dashboards, metrics, logs, and alerts that surface data and model problems while they’re still small.
• Design the APIs, services, and internal tools that make these workflows reliable and easy for engineers and scientists to use.

Senior Data & ML Infrastructure Engineer designing data pipelines and ML models

Senior Data & ML Infrastructure Engineer

Senior Data & ML Infrastructure Engineer designing and managing data pipelines and ML models for AI applications. Collaborating with engineering teams to ensure data integrity and system reliability.

• Design rack layout, network topology, and overall configuration for colocation
• Design and implement an isolated Out-of-Band (OOB) management network (BMC, IPMI, Redfish) with full security hardening
• Coordinate with colocation and hardware vendors — servers, switches, cross-connects, uplinks, remote hands, and cage/rack administration
• Build bare-metal automation for fleet-wide zero-touch OS provisioning (MAAS / Tinkerbell / Cluster API)
• Set up production-grade self-hosted Kubernetes clusters from scratch and maintain the core stack: Cilium (CNI), GitOps (ArgoCD), etc.
• Own cluster lifecycle: upgrades, scaling, node maintenance, incident response
• Write SOPs, runbooks, and post-mortems; participate in 24×7 on-call rotation
• Establish hybrid-cloud interconnect between IDC and public cloud (VPN / Direct Connect / peering)
• Pave the way for scale-out: GPU workloads (NVIDIA GPU Operator, passthrough, MIG) and VM workloads running alongside containers (KubeVirt or similar)

Senior Infrastructure Engineer leading IDC infrastructure at Binance

Senior Infrastructure Engineer – IDC, Bare-Metal Kubernetes

Senior Infrastructure Engineer at Binance building and running colocation data centers and Kubernetes platforms. Leading architecture and operations in a greenfield environment.

• Plan, execute, monitor and control the various technical aspects of the project
• Manage or participate in an existing setup or upgrade of system/network infrastructure projects
• Responsible for supporting operational systems satisfying contractual Service Level Agreements
• Perform and manage routine preventive maintenance and operational activities promptly and effectively
• Update project documentation and reports
• Diagnose and rectify technical issues

Cloud Infrastructure Engineer at ST Engineering designing end-to-end cloud solutions

Cloud Infrastructure Engineer

Cloud Infrastructure Engineer designing, planning, and implementing cloud infrastructure for diverse clients at ST Engineering, handling operational systems and technical issues with a collaborative team.

Infrastructure Engineer jobs in Singapore

See all jobs on JobTailor

Senior Data & ML Infrastructure Engineer

Senior Infrastructure Engineer – IDC, Bare-Metal Kubernetes

Cloud Infrastructure Engineer