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Singtel

Senior Engineer, Platform Infrastructure (Containers & Virtualization)

Singtel is hiring a Senior Engineer, Platform Infrastructure (Containers & Virtualization) in Kuala Lumpur, Malaysia. Level rates it ; you can apply on Singtel.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level classes it as a senior role.
  • Singtel has 499 other open roles on Level.
  • Posted within the past week.

AI in this role

 

Be a part of something BIG!

 

We are seeking an experienced Platform Infrastructure Engineer to operate, support, and troubleshoot enterprise private cloud infrastructure across the physical infrastructure, virtualization, and container platforms.

 

The role has a strong operational and Day 2 support focus, with particular emphasis on Red Hat OpenShift, OpenShift Virtualization, Kubernetes containers, and Virtualization (VMware/Nutanix/HyperV).

 

The engineer will be responsible for maintaining platform availability, diagnosing infrastructure and workload issues, resolving incidents, and working across compute, storage, networking, virtualization, and container layers to identify root causes

 

The successful candidate should be comfortable troubleshooting complex problems that span multiple layers of the technology stack and should be capable of independently resolving common OpenShift and Kubernetes operational issues.

 

Make an Impact by:

  • Operate, monitor, and support private cloud infrastructure across compute, storage, networking, virtualization, and container platforms.
  • Monitor infrastructure health, capacity, availability, and performance and take proactive action to prevent service degradation
  • Troubleshoot hardware and infrastructure issues involving servers, storage, networking, operating systems, hypervisors (VMware/Nutanix/HyperV), and associated platform components.
  • Manage and troubleshoot Red Hat OpenShift and Kubernetes environments, including pods, nodes, storage, networking, resource constraints, and application connectivity issues
  • Troubleshoot application issues sufficiently to determine whether problems originate from the application, container, Kubernetes/OpenShift platform, network, storage, virtualization, or underlying physical infrastructure.
  • Support platform upgrades, patching, certificate management, configuration changes, and other lifecycle activities.
  • Monitor infrastructure and workloads, respond to incidents, and troubleshoot issues using logs, metrics, alerts, and observability tools.
  • Develop runbooks and troubleshooting procedures while driving automation through scripting, Infrastructure-as-Code, and configuration management.
  • Support hardware/RMA activities and participate in on-call or operational support as required.
  • Work with Change Management to propose and implement changes, especially for patching for ongoing quality, efficiency and resiliency requirements
  • Ensure that operational SLA’s are met, and crafting meaningful reports and metrics to track progress of current infrastructure, including capacity planning and operational improvements

 

Skills for Success:

 

  • Degree in Computer Science or Information Technology
  • 3–7+ years of infrastructure or cloud operations experience, with meaningful hands-on exposure to Kubernetes/OpenShift environments.
  • Experience supporting production infrastructure and applications in environments with defined incident, change, and problem-management processes.
  • Hands-on experience operating enterprise Linux infrastructure, preferably Red Hat Enterprise Linux.
  • Strong practical knowledge of Red Hat OpenShift and Kubernetes.
  • Experience troubleshooting Kubernetes/OpenShift workloads in production environments.
  • Strong understanding of virtualization concepts including VM lifecycle, compute allocation, virtual networking, storage, snapshots, and migration.

 

Your Career Growth Starts Here. Apply Now!

 

 

How we rate this

Senior Engineer, Platform Infrastructure (Containers & Virtualization) at Singtel rates 35 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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