Principal Splunk Engineer
6314 Remote/Teleworker US, United States
Full Time Senior-level / Expert Clearance required USD 126K - 227K
Leidos
Leidos is an innovation company rapidly addressing the world's most vexing challenges in national security and health. Our 47,000 employees collaborate to create smarter technology solutions for customers in these critical markets.Are you ready to make an impact?
The Leidos CIO team, within the Digital Modernization sector, is seeking a visionary Principal Splunk Engineer to lead and shape our growing Enterprise Observability initiatives as a core member of our CIO Chief Data and Analytics Office Performance Management team. We are significantly expanding our global Splunk infrastructure and enhancing our capabilities over the next three years. This critical role demands a seasoned expert who can architect, implement, and continuously evolve complex, enterprise-scale Splunk and Cribl environments, setting new standards for operational excellence.
In this role, you will serve as the technical cornerstone, driving innovation across the full lifecycle of our observability platforms: requirements definition; strategic architecture planning; advanced performance analysis and tuning; major system upgrades and expansions; development of cutting-edge capabilities; automation and orchestration leadership; sophisticated troubleshooting; security integrations; and overseeing comprehensive documentation and governance.
Location: This role offers a 100% remote working opportunity from any U.S. based location, providing flexibility to attract top global talent dedicated to shaping the future of enterprise observability at Leidos.
The Leidos Splunk infrastructure is expansive, complex, and growing:
Daily ingest of 8+ TB across 600+ users globally
Robust physical and virtual on-premises infrastructure:
Multi-site indexer cluster (60+ nodes)
Multiple search head clusters (20+ nodes)
Diverse deployment servers and standalone instances (10+ nodes)
Cribl Stream intermediate processing layer:
30+ nodes across three continents, managing vast syslog data streams
Infrastructure supporting 50,000+ unique hosts
Hundreds of ODBC connections, custom/modular inputs, and integration points
Thousands of dashboards, reports, saved searches, lookups, and KVstores
Over 200 apps including custom-built and vendor-supplied
Comprehensive cloud integrations (AWS, Azure), Kubernetes integrations, and sophisticated disaster recovery frameworks
Adherence to stringent federal and financial governance requirements
Additionally, the CIO Performance Management team is aggressively advancing in strategic areas:
Splunk ITSI: Leading service decomposition and system-of-systems integrations
Advanced Orchestration and Automation: Deep integration with ServiceNow and other enterprise management platforms
Next-Generation Interface Development: Creating sophisticated, user-centric dashboards beyond conventional Splunk offerings
Applied Machine Learning: Utilizing statistical models to deliver proactive and intelligent monitoring solutions
If you are a recognized expert with deep experience architecting, building, and evolving large-scale Splunk infrastructures and possess proficiency in any of these advanced strategic areas, we'd be excited to connect with you!
Required Qualifications:
Bachelor's degree with a minimum of 12 years of relevant IT experience; Master's and 10 years, Associate and 14 years or additional experience may be considered in lieu of a degree
6+ years as a senior-level Splunk Engineer
8+ years managing complex Linux-based infrastructures
US Citizenship required
Proven expertise architecting, deploying, and enhancing Splunk infrastructures handling multi-terabyte daily ingests
Advanced proficiency with Splunk Apps, Add-ons, props, transforms, and Knowledge Objects
Extensive knowledge of Splunk's Common Information Model and data normalization
Deep expertise with Cribl Stream data processing solutions
Proven track record integrating Splunk ITSI for enterprise-scale service decomposition
Strong scripting/programming skills, particularly in Python and JavaScript
Solid experience with REST API integrations and application interface development
Mastery of regular expressions and advanced troubleshooting methodologies
Expert-level proficiency with AWS and Azure cloud technologies
Demonstrated leadership and project management abilities, including agile methodologies
Working knowledge of ITIL Change & Configuration Management
Desired Qualifications:
Ability to obtain Secret security clearance as per program requirement
Advanced experience with Kafka for secure data streaming platforms
Hands-on experience implementing Splunk-based machine learning solutions
Prior experience leading Splunk Cloud migrations
Practical experience applying data analytics for strategic decision-making
Expertise in workflow automation tools, including scripting and low-code/no-code solutions
Proficiency with containerization technologies such as Docker and Kubernetes
Experience with infrastructure automation using Ansible
Familiarity with SQL/ODBC interfaces and data integrations
Broader experience with system/network monitoring and management tools
Completion or ongoing certification as a Splunk Admin/Architect
Master's degree in Information Technology, Computer Science, or related field preferred
Original Posting:
May 6, 2025For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $126,100.00 - $227,950.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Tags: Agile Ansible APIs Architecture AWS Azure Computer Science Data Analytics Docker ITIL JavaScript Kafka Kubernetes Linux Machine Learning Python REST API Security Splunk SQL Statistics Streaming
Perks/benefits: Career development Equity / stock options
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