Description
About our client
Our Client operates in the Financial Services Industry, with its headquarters rooted strongly in Singapore. It has its branches spread to more than 15 countries, providing employment to more than 25,000 people all over the world. They fall in the Forbes Global 2000 (2022). Their core business is to offer financial services to its clients, ranging from Investment Banking to Corporate as well as Personal Banking Services.. They are also well known for their Residential Home Loan Business.
Job description
Responsibilities:
- Design, implement, administer, and maintain the enterprise Splunk platform.
- Manage Splunk infrastructure components including Search Heads, Indexers, Deployment Servers, Heavy Forwarders, Universal Forwarders, Cluster Manager, License Manager, and Deployer.
- Configure and maintain Search Head Clusters and Indexer Clusters.
- Administer data onboarding, source type configuration, parsing, indexing, and data retention.
- Monitor Splunk platform health, performance, availability, and capacity.
- Perform Splunk upgrades, patching, migration, and infrastructure expansion activities.
- Optimize indexes, searches, data models, and platform performance.
- Develop automation scripts using Python or similar scripting languages.
- Integrate Splunk with various enterprise systems and data sources.
- Support troubleshooting and root cause analysis related to Splunk platform and data ingestion issues.
- Configure dashboards, reports, alerts, and knowledge objects as required.
Requirements:
- Bachelor's Degree in Computer Science, Information Technology, or related discipline.
- Minimum 8+ years of IT experience with at least 3 years of hands-on Splunk Administration experience.
- Strong experience managing:
- Search Head Clusters
- Indexer Clusters
- Deployment Servers
- Heavy Forwarders
- Universal Forwarders
- License Management
- Strong understanding of Splunk architecture, deployment models, and platform sizing.
- Experience with Splunk upgrades, platform scaling, and infrastructure lifecycle management.
- Expertise in Splunk SPL and platform performance tuning.
- Experience onboarding and integrating diverse log sources into Splunk.
- Strong understanding of Linux, networking, virtualization, storage, and enterprise infrastructure.