Senior Splunk Architect: Cloud & On-Prem Observability

U3 INFOTECH PTE. LTD.; Singapore; Hybrid; SGD 140,000 - 170,000; Full time

Job summary

U3 INFOTECH PTE. LTD. is seeking an experienced Splunk Architect to lead enterprise logging initiatives.

The role focuses on architecting, scaling, and maintaining a distributed Splunk environment, onboarding data from on-premise infrastructure and AWS resources, and driving observability across a hybrid IT landscape. The ideal candidate has extensive Splunk experience, strong scripting skills in Python or Bash, and a proven track record in cloud-based log management with AWS.

Qualifications

• 8+ years IT Infrastructure, Enterprise Logging, or Systems Engineering experience with at least 5 years in Splunk Architecture & Administration.
• Deep hands-on AWS log integration and Splunk in public cloud environments.
• Proficient in Python or Bash scripting and with configuration management tools like Ansible, Puppet, or Terraform.
• Advanced knowledge of network protocols, firewalls, and scalable Syslog architectures (e.g., Splunk Connect for Syslog - SC4S).
• Strong root-cause analysis, autonomous, quick learner with SaaS tools and evolving infra tech.
• Excellent written and verbal communication to coordinate across stakeholders.

Responsibilities

• Handle and support application security log onboarding to Splunk and Operations.
• Lead log management, observability, and data ingestion strategies across a hybrid environment.
• Architect, scale, and maintain distributed Splunk infrastructure, onboarding data from on-prem and AWS.

Skills

Splunk Architecture

Splunk Administration

AWS Cloud

Python / Bash

Automation: Ansible/Puppet/Terraform

Networking / Syslog

Root-Cause Analysis

Stakeholder Communication

Tools

Splunk

GitHub Actions

Ansible

Terraform

Job description

U3 INFOTECH PTE. LTD. is seeking an experienced Splunk Architect to lead enterprise logging initiatives.

The role focuses on architecting, scaling, and maintaining a distributed Splunk environment, onboarding data from on-premise infrastructure and AWS resources, and driving observability across a hybrid IT landscape. The ideal candidate has extensive Splunk experience, strong scripting skills in Python or Bash, and a proven track record in cloud-based log management with AWS.