Senior Software Engineer

optimum solutions (singapore) pte ltd; Singapore; On-site; SGD 150,000 - 180,000; Full time

Job summary

optimum solutions (singapore) pte ltd is seeking a Senior Splunk Engineer to design and operate scalable Splunk Enterprise architectures for enterprise logging and observability in a Singapore-based setting.

You will develop Splunk apps, dashboards and alerts, build data pipelines, and manage distributed environments with IAM, clustering and deployment servers. Strong scripting with Python/Bash and Infra as code is essential.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering or a related discipline.
• Minimum 8 years of overall IT experience in software engineering, platform engineering, infrastructure or enterprise logging.
• At least 5 years of hands‑on experience in Splunk Enterprise development, architecture and administration.
• Strong expertise in Splunk distributed architecture, Indexers, Search Heads, Forwarders, clustering and platform management.
• Proven experience developing Splunk applications, dashboards, reports, alerts, SPL queries, data models and custom integrations.
• Hands‑on experience with Python/Bash scripting, AWS log integration, Syslog architecture, SC4S and automation tools such as Ansible, Puppet or Terraform.
• Good understanding of CI/CD, GitHub Actions, Splunk AppInspect, platform performance optimisation, troubleshooting and enterprise DevOps practices.

Responsibilities

• Design, develop and maintain scalable, highly available Splunk Enterprise architectures for enterprise logging and observability.
• Develop and enhance Splunk applications, dashboards, reports, alerts and operational workflows using SPL, JavaScript and related technologies.
• Build and maintain data ingestion pipelines, custom parsing rules, field extractions, event transformations and data models.
• Manage distributed Splunk environments, including Indexers, Search Heads, Forwarders, Deployment Servers and clustering.
• Develop and implement integrations for AWS CloudTrail, CloudWatch, VPC Flow Logs and other enterprise log sources.
• Develop automation scripts using Python and Bash, and implement configuration management using Ansible, Puppet or Terraform.
• Administer and optimise Splunk platforms, manage upgrades and migrations, troubleshoot performance issues, and develop scalable Syslog solutions using SC4S.

Skills

Splunk Enterprise

Splunk architecture

SPL queries

Python scripting

AWS log integration

CI/CD practices

Ansible

Terraform

Puppet

Data models

Dashboards & reports

Syslog/SC4S

Education

Bachelor's degree in CS/IT

Tools

GitHub Actions

SC4S

Git

Splunk AppInspect

Job description

Key Responsibilities

1. Design, develop and maintain scalable, highly available Splunk Enterprise architectures for enterprise logging and observability.

2. Develop and enhance Splunk applications, dashboards, reports, alerts and operational workflows using SPL, JavaScript and related technologies.

3. Build and maintain data ingestion pipelines, custom parsing rules, field extractions, event transformations and data models.

4. Manage distributed Splunk environments, including Indexers, Search Heads, Forwarders, Deployment Servers and clustering.

5. Develop and implement integrations for AWS CloudTrail, CloudWatch, VPC Flow Logs and other enterprise application and security log sources.

6. Develop automation scripts using Python and Bash, and implement configuration management using Ansible, Puppet or Terraform.

7. Administer and optimise Splunk platforms, manage upgrades and migrations, troubleshoot performance issues, and develop scalable Syslog solutions using SC4S.

Requirements

1. Bachelor's degree in Computer Science, Information Technology, Software Engineering or a related discipline.

2. Minimum 8 years of overall IT experience in software engineering, platform engineering, infrastructure or enterprise logging.

3. At least 5 years of hands‑on experience in Splunk Enterprise development, architecture and administration.

4. Strong expertise in Splunk distributed architecture, Indexers, Search Heads, Forwarders, clustering and platform management.

5. Proven experience developing Splunk applications, dashboards, reports, alerts, SPL queries, data models and custom integrations.

6. Hands‑on experience with Python/Bash scripting, AWS log integration, Syslog architecture, SC4S and automation tools such as Ansible, Puppet or Terraform.

7. Good understanding of CI/CD, GitHub Actions, Splunk AppInspect, platform performance optimisation, troubleshooting and enterprise DevOps practices.