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.
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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.
- Experience onboarding data from multiple source types, including servers, network devices, cloud platforms, applications, SaaS tools, APIs, and security systems.
- Strong SPL skills, including the ability to create, troubleshoot, tune, and optimize searches, dashboards, reports, and alerts.
- Experience improving data quality, field extraction accuracy, search efficiency, storage usage, and platform stability.
- Strong troubleshooting skills across infrastructure, networking, operating systems, certificates, proxies, authentication, and distributed systems.
- Experience using scripting or APIs to automate repetitive tasks, reduce manual effort, and improve platform reliability.
- Ability to communicate clearly with technical and non-technical stakeholders.
Bonus Skills
- Splunk certifications such as Splunk Core Certified Power User, Advanced Power User, Enterprise Admin, Cloud Admin, Architect, or Consultant. Relevant security certifications are also desirable.
- Experience with Splunk Enterprise Security, Edge Processor, or search workload optimization.
- Experience supporting SOX, audit, compliance, security operations, or evidence collection use cases.
- Experience with Azure Event Hub, cloud-to-cloud data ingestion, HEC architecture, load balancing, and high availability patterns.
- Experience with CIM, data models, tstats, summary indexing, data quality governance, and dashboard optimization.
- Experience creating internal training, documentation, onboarding guides, or enablement materials for Splunk users.
- Familiarity with Veeam products, backup infrastructure monitoring, or security event forwarding.
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
