Splunk ITSI Architect

Exp- 10 + Years

Immediate joiners only

Splunk ITSI Architect

Position Overview:

The Splunk ITSI Architect will lead the architecture and strategic implementation of Splunk IT Service Intelligence (ITSI) across complex IT environments. This role involves designing scalable, highly available solutions, integrating with various IT systems (Network, Cloud, On-premises Data Centers, and IoT), and optimizing Splunk ITSI's functionality to enhance organizational service management and operational intelligence.

Responsibilities:

Architect, design, and implement comprehensive Splunk ITSI solutions tailored to complex, multi-layered environments including Network, Cloud, On-premises Data Centers, and IoT.

Provide technical leadership and oversee all architectural decisions related to large-scale Splunk ITSI deployments.

Collaborate closely with stakeholders, business analysts, and infrastructure teams to define detailed business service monitoring requirements.

Develop and maintain Splunk ITSI glass tables, service analyzers, deep dives, and highly customized dashboards.

Set standards and best practices for integrating ITSI with multiple complex platforms (e.g., ServiceNow, AWS, Azure, GCP, Kubernetes, IoT devices, and networking equipment).

Ensure scalability, performance optimization, reliability, and high availability of Splunk ITSI across diverse infrastructure environments.

Mentor junior team members and provide extensive knowledge transfer within teams.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

10+ years of relevant experience, with at least 5 years architecting and deploying Splunk solutions, specifically Splunk ITSI.

Splunk ITSI Certified Architect strongly preferred.

Proven hands-on experience in deployment, configuration, and architectural design in complex IT environments involving Networks, Cloud platforms (AWS, Azure, GCP), On-premises Data Centers, and IoT ecosystems.

Deep technical expertise in Splunk architecture, SPL scripting, data ingestion strategies, KPI and correlation search design, and data management in large-scale deployments.

Strong experience with integration frameworks and APIs.

Excellent problem-solving, analytical, leadership, and communication skills.