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Singtel

Senior Engineer - Compute, Container & AI Infrastructure

Singtel is hiring a Senior Engineer - Compute, Container & AI Infrastructure in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include RAG.
  • Level classifies it as a senior role.
  • Level lists 499 other open roles at Singtel.

AI in this role

rag

 

 

At Singtel, your work unlocks BIG Possibilities. 

We are building an AI-first telco of the future — connecting people, businesses and communities through trusted networks, digital services and next-generation technology. From everyday consumer experiences across mobile, broadband, entertainment and lifestyle services, to enterprise solutions in 5G+, cloud, cybersecurity, AI, data centres and digital platforms, we create the infrastructure and experiences that power how people live, work, play and do business. 

You will be part of teams shaping intelligent networks, secure digital ecosystems, sovereign AI cloud platforms, sustainable data centres and seamless customer experiences at scale. Together, we combine technology, innovation and human potential to empower every generation to thrive in a more connected, resilient and AI-enabled future. 

Be part of something BIG! 

As part of our Infrastructure Engineering team, you will design, operate, and enhance Singtel's enterprise AI infrastructure powered by Red Hat OpenShift AI, Kubernetes, and DevSecOps practices. You will play a critical role in enabling container and VM workloads at scale while ensuring platform reliability, performance, security, and automation. 

How You Will Make an Impact:

OpenShift Container, Virtualization and RHOAI Platform Engineering 

  • Administer and support enterprise Red Hat OpenShift Container Platform (OCP) environments, including Openshift Virtualization, Containerization and AI variations 

  • Manage platform operations including cluster health, node management, networking, storage, monitoring, logging, security, and upgrades. 

  • Troubleshoot Kubernetes and OpenShift issues across large clusters, workloads, networking, and authentication layers, as well as Operators necessary to build, develop and operate the platform efficiently and reliably. 

  • Support Hosted Control Plane (HyperShift) environments, including HostedCluster and NodePool lifecycle management. 

  • Manage multi-cluster OpenShift environments and enterprise integrations such as DNS, identity, storage, certificate management, and security services. 

  • Support OpenShift Service Mesh (Istio), OpenShift Virtualization, and other cloud-native platform capabilities. 

  • Maintain operational standards, runbooks, and documentation while ensuring SLA compliance. 

GitOps, DevOps & Platform Automation 

  • Manage and support OpenShift GitOps (Argo CD) for platform and application deployments. 

  • Implement GitOps-based deployment and configuration management practices. 

  • Support CI/CD pipelines spanning source control, security scanning, container registries, and OpenShift deployments. 

  • Manage Helm-based application deployments and lifecycle management. 

  • Drive DevSecOps practices including vulnerability scanning, access controls, secrets management, and policy enforcement. 

  • Automate platform operations using Infrastructure-as-Code and Configuration-as-Code principles using Ansible scripts, Powershell or Unix Bash scripts as appropriate. 

  • Develop reusable deployment templates, standards, and automation frameworks. 

Infrastructure & GPU Server Engineering 

  • Manage enterprise x86 server infrastructure supporting OpenShift, OpenShift AI, and private cloud platforms. 

  • Support NVIDIA GPU servers for AI/ML and accelerated computing workloads. 

  • Perform infrastructure lifecycle management including installation, upgrades, firmware updates, capacity planning, health monitoring, maintenance, and hardware replacement. 

  • Monitor and optimize server, storage, networking, and GPU performance. 

  • Troubleshoot hardware and infrastructure issues across compute, storage, networking, firmware, and GPU layers. 

  • Work with vendors on support, maintenance, and infrastructure refresh initiatives. 

  • Support data center operations and future infrastructure expansion projects. 

 

Skills for Success 

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline. 

  • 10+ years of experience in platform engineering, infrastructure engineering, cloud platforms, Kubernetes, or enterprise IT environments. 

  • 5+ years of hands-on experience managing Red Hat OpenShift Container Platform in production environments. 

  • Strong background in running Kubernetes, container technologies, Linux/RHEL, and cloud-native infrastructure at scale, with a proven track record being able to troubleshoot complex container and infrastructure issues. 

  • Experience with platform operations, troubleshooting, patching, upgrades, automation, and capacity planning. 

  • Experience with enterprise DevOps, GitOps, CI/CD, and service management practices. 

  • Hands-on experience supporting x86 servers and NVIDIA GPU infrastructure. 

  • Good understanding of AI/ML workloads and concepts, including model serving, inferencing, MIG, RAG. 

Technical Expertise 

  • Red Hat OpenShift Container Platform (OCP) and RedHat Openshift Virtualization 

  • Red Hat OpenShift AI (RHOAI) 

  • Kubernetes and container technologies 

  • OpenShift GitOps / Argo CD 

  • NVIDIA GPU Operator and GPU-accelerated workloads 

  • NVIDIA Multi-Instance GPU (MIG) 

  • OpenShift Networking, Security, RBAC, and Storage 

  • Linux / RHEL administration and troubleshooting 

  • Bare metal server and storage design, build and operations. 

  • Automation using Ansible, Python, Bash, or similar technologies 

  • Monitoring, logging, observability, and platform performance management 

Nice to Have 

  • Hosted Control Plane (HyperShift) 

  • OpenShift Service Mesh / Istio 

  • OpenShift Virtualization (KubeVirt) 

  • DevSecOps and AI Security experience 

  • Disconnected/OpenShift private environments 

  • Private Cloud Platform software 

  • Red Hat certifications (RHCSA, RHCE, OpenShift) 

  • Kubernetes certifications (CKA, CKAD) 

 

 

 

How we rate this

Senior Engineer - Compute, Container & AI Infrastructure at Singtel rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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