Job Title: Splunk Lead
Location: Tampa FL/ Jersey NJ;
Experience Required: 8+ years in Splunk with leadership experience
NOTE***(Face to face Interview)Job Description:We are seeking a
Splunk Lead to join our team and take charge of managing, optimizing, and scaling our Splunk infrastructure. As a
Splunk Lead, you will be responsible for leading a team of engineers, driving the implementation of Splunk-based solutions, and ensuring that the Splunk platform is optimized for performance, reliability, and scalability. Additionally, you will play a key role in integrating
Cribl LogStream for improved data flow management and enhancing our data monitoring solutions.
Key Responsibilities: - Leadership & Team Management: Lead a team of Splunk engineers, providing guidance, mentorship, and technical support. Ensure efficient project delivery, while promoting best practices in data analytics and infrastructure management.
- Splunk Deployment & Configuration: Oversee the installation, configuration, and management of Splunk platforms (Splunk Enterprise, Splunk Cloud, ITSI, and Splunk ES), ensuring optimal performance across various use cases.
- Cribl LogStream Integration: Utilize Cribl LogStream to enhance data routing, filtering, and enrichment processes. Implement real-time data streaming and batch pipeline solutions for better performance and resource management.
- Search Processing Language (SPL): Design, develop, and optimize SPL queries, reports, and dashboards to generate insights from machine data. Monitor and refine queries to improve response time and resource utilization.
- Data Management: Manage and optimize data ingestion, including large-scale data inputs, and ensure high availability, redundancy, and security of data across the Splunk platform.
- Performance Tuning & Optimization: Troubleshoot, optimize, and monitor Splunk and Cribl configurations for better query performance, faster indexing, and improved data retrieval times.
- Automation & Scripting: Leverage Python, PowerShell, and Shell Scripting for automating data ingestion, parsing, and dashboard creation.
- Collaboration & Stakeholder Communication: Collaborate with cross-functional teams (IT, security, operations) to understand business requirements and deliver solutions. Effectively communicate technical aspects to non-technical stakeholders.
Skills & Qualifications:Technical Skills: - Splunk Expertise: 6+ years of hands-on experience with Splunk Enterprise, Splunk Cloud, Splunk ITSI, Splunk ES (Splunk Enterprise Security), and other Splunk apps.
- Cribl LogStream: Experience in using Cribl LogStream for real-time data routing, filtering, and stream processing.
- SPL Proficiency: Expertise in Splunk Search Processing Language (SPL) for writing optimized queries, reports, and dashboards.
- Log Management: Experience in configuring, managing, and optimizing log management for large-scale environments.
- Data Integration: Experience with ingesting and processing data from various sources (e.g., Syslog, HTTP Event Collector, custom log formats).
- Performance Tuning: Strong ability to optimize Splunk configurations for speed and efficiency (indexing, queries, data storage).
- Automation & Scripting: Proficiency in scripting languages like Python, PowerShell, or Shell for automating data workflows and Splunk tasks.
Leadership Skills: - Proven leadership ability to manage teams of Splunk engineers and oversee project delivery.
- Strong problem-solving skills, with an ability to lead complex technical projects from conception to completion.
- Mentoring skills to guide junior engineers and improve the team's technical abilities.
Cloud & Infrastructure: - Experience with cloud-based Splunk deployments, particularly in AWS or Azure environments.
- Familiarity with infrastructure management and automation tools like Terraform, Ansible, or CloudFormation.
Preferred Qualifications: - Certifications: Splunk Certified Admin, Splunk Certified Architect, or any other relevant Splunk certification.
- Cribl Certifications or expertise in Cribl LogStream.
- Strong understanding of network security and monitoring solutions (i.e., security event log analysis).
- Experience working with data-driven applications and solutions that rely on machine data (e.g., application logs, network logs, etc.).
