6.0 - 10.0 years

10 - 20 Lacs

Hyderabad, Bengaluru, Mumbai (All Areas)

Hybrid

Job Title: Splunk Architect Location: [Pan-India] Experience: 79 Years Job Type: [Full-Time / Hybrid] Department: IT / Infra / DevOps Job Summary: We are seeking a highly skilled and experienced Splunk Architect to lead the design, implementation, and optimization of our Splunk infrastructure. The ideal candidate will have a strong background in IT operations, security, and data analytics, with a proven track record of architecting and managing enterprise-level Splunk deployments. Key Responsibilities: Design and implement scalable and resilient Splunk architectures across enterprise environments. Lead the deployment, configuration, and maintenance of Splunk components (indexers, forwarders, search heads, deployment servers). Develop and maintain data ingestion pipelines, parsing, and normalization of logs from various sources. Create and manage Splunk dashboards, alerts, reports, and visualizations for IT operations and security use cases. Collaborate with security, DevOps, and infrastructure teams to ensure effective log management and monitoring. Optimize performance and troubleshoot issues within the Splunk environment. Ensure compliance with data governance and security policies. Provide mentorship and guidance to junior Splunk engineers and analysts. Stay updated with the latest Splunk features, apps, and industry best practices. Required Skills & Qualifications: 7–9 years of experience in Splunk architecture and administration. Strong expertise in Splunk Enterprise, Splunk Cloud. Experience with onboarding data sources, creating custom apps, and developing SPL queries. Proficiency n scripting languages (Python, Bash, PowerShell) for automation and integration. Familiarity with ITSI, and other Splunk premium apps is a plus. Splunk certifications (e.g., Splunk Certified Architect, Splunk Certified Admin) are highly desirable. Excellent problem-solving, communication, and documentation skills. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes). Understanding of networking, firewalls, and endpoint security. Exposure to other log management.

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