Splunk Architect

2 weeks ago

bangalore, India HCLTech Full time

HCLTech is hiring for Splunk Architect for Bengaluru, Chennai, Noida, Pune, Hyderabad, Mumbai locations.

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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