Senior Splunk Administrator
Veeam Software
| Company | Veeam Software |
| Category | Uncategorised |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jul 2026 |
| Last verified | 2 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
#LI-REMOTE #LI-JC2
About the Role
We are looking for a Senior Splunk Engineer to own and evolve Veeam’s Splunk environment across both on-premises and Splunk Cloud. This role will manage platform health, data ingestion, search performance, storage efficiency, dashboards, alerts, compliance support, and integrations across a broad enterprise environment.
The ideal candidate enjoys working at the center of infrastructure, security, cloud, monitoring, automation, and operational data, and can partner with infrastructure, cloud, security, application, audit, and service management teams. This is a high-impact role for someone who enjoys turning complex machine data into reliable operational insight.
What You’ll Do
Manage, maintain, and improve Veeam’s Splunk Enterprise and Splunk Cloud environments.
Design and support scalable log ingestion patterns across infrastructure, cloud platforms, applications, SaaS tools, security systems, and business services.
Monitor and improve platform health, search performance, index utilization, storage efficiency, retention, data quality, and overall reliability.
Partner with infrastructure, cloud, security, networking, application, audit, and service management teams to deliver trusted logging and observability capabilities.
Build and maintain dashboards, alerts, reports, saved searches, field extractions, lookups, and knowledge objects that help teams identify and resolve issues faster.
Lead data onboarding efforts, including source validation, parsing, sourcetype strategy, index design, field extraction, CIM alignment, HEC integrations, and forwarder configuration.
Troubleshoot complex issues across Splunk architecture, operating systems, network paths, certificates, proxies, cloud services, and data pipelines.
Support security, compliance, audit, and operational reporting use cases where accurate and searchable log data is critical.
Define, document, and improve Splunk standards, runbooks, support procedures, onboarding patterns, and platform best practices.
Technologies You’ll Work With
Splunk Enterprise
Splunk Cloud
Splunk Search Processing Language (SPL)
Splunk Universal Forwarders, Heavy Forwarders, Deployment Server, Search Heads, Indexers
Splunk HTTP Event Collector (HEC)
Splunk apps, add-ons, dashboards, alerts, reports, lookups, data models, macros, tags, event types, and field extractions
Windows and Linux server environments
Azure, Azure Event Hub, Azure Monitor, Log Analytics, and cloud-native logging patterns
REST APIs, webhooks, and automation frameworks
PowerShell, Python, Bash, or similar scripting languages
ServiceNow, Jira, or similar IT service management and work-tracking tools
Observability, monitoring, security logging, compliance logging, and audit support workflows
What You’ll Bring
Senior-level experience administering, engineering, or architecting Splunk in an enterprise environment.
Hands-on experience with Splunk Enterprise, Splunk Cloud, or both.
Strong understanding of Splunk architecture, including forwarders, indexers, search heads, deployment servers, apps, technical add-ons, indexes, sourcetypes, parsing, and retention.
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