Splunk Architect
7 days ago
Work Mode: Work from Office
Experience: 9-15 years
Notice Period - Immediate Joiner to 30 Days
Key Responsibilities
- Architect and design data ingestion pipelines to support large-scale deployments (5G Core, Data Center, CPAR, CPNR) ensuring high performance and reliability.- Develop and optimize Splunk apps, addons, and data models for custom use cases, including SNMP traps, syslog, and REST API-based ingestion.- Lead the design and implementation of custom Splunk apps that integrate external systems, handle complex data transformations, and ensure seamless ingestion and indexing.- Develop and maintain data pipelines for fault and performance management, with real-time monitoring and alerting for critical infrastructure (Mobility, StarOS, CPS).- Architect scalable, efficient, and secure Splunk deployment models with focus on data forwarding, indexing, search head clustering, and summary indexing.- Integrate external data sources (logs, metrics, traps) into Splunk using Universal Forwarders, HTTP Event Collectors (HEC), Heavy Forwarders and syslog servers.- Assist in troubleshooting and resolving Splunk performance issues related to data indexing, search performance, or system scaling.- Collaborate with cross-functional teams to design Splunk integrations and apps that enhance operational visibility across different environments (Mobility, Data Center Compute, 5G Core).- Optional - Establish best practices for add-on development, ensuring modularity, reusability, and adherence to Splunkbase standards.- Optional -Ensure high availability (HA), disaster recovery (DR), and scalability of Splunk infrastructure, with a focus on automation and monitoring.- Optional -Provide thought leadership in Splunk architecture, roadmap, and technology decisions for long-term sustainability and growth.
Skills & Qualifications
- Experience in Splunk Enterprise architecture with large-scale implementations and custom data ingestion solutions.- Expertise in designing and developing Splunk apps, addons, and custom scripts for data ingestion and processing.- Proficiency with Splunk Processing Language (SPL) for complex searches, query optimization, and reporting.- Experience building and managing data pipelines for ingesting data from SNMP, syslog, APIs, and file-based sources.- Strong understanding of Splunk architecture (ingestion, indexers, forwarders, search heads) and Splunk clustering models.- Familiarity with Linux environments, Python scripting, and automation tools such as Ansible or Terraform.- Experience with Splunk SDKs for Python or JavaScript for app/addon development.- Certifications – Optional : Splunk Certified Architect or Developer certifications are a plus.
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