This role pays less than
60%
of similar roles. Most pay
$147,250–$212,000
— the shaded band above.
At the midpoint, this role pays about
$165k
versus about
$180k
for comparable roles.
Based on 240 similar postings.
Employer
About Danaher Corporation
Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.
Danaher Corporation currently has
27 open roles
on FindRole.
Listed pay typically runs
$150,000–$175,000
across 23 roles with salary data.
The Senior SIEM Engineer joins the Corporate Information Security team to engineer, sustain, and improve cybersecurity monitoring platforms that enable enterprise-wide threat detection and investigations. This role focuses on driving data collection operational excellence by monitoring log data pipelines, infrastructure, and data feeds to ensure information is parsed and normalized for security operations. The successful candidate will research and implement upgrades to expand visibility while collaborating with engineering and infrastructure peers across various operating companies. Required expertise includes managing platforms such as CrowdStrike Next-Gen SIEM, Splunk, Microsoft Sentinel, Palo Alto XSIAM, Google SecOps, Humio, and Elastic. Additionally, the role requires experience with log data pipeline solutions like Cribl or Databahn, along with cloud environments including AWS, Azure, and GCP. Preferred skills include Python, Bash, PowerShell, regular expressions, and Infrastructure as Code methodologies.
Engineer and maintain cybersecurity monitoring platforms to enable enterprise-wide threat detection and investigations.
Monitor the operational health of log data pipelines, infrastructure, and data feeds to ensure availability.
Parse and normalize log data to support effective security operations and threat hunting.
Research and implement SIEM solution upgrades to expand cybersecurity visibility across the organization.
Develop and maintain technical documentation, including operating procedures and logical flow diagrams.
Integrate enterprise log data pipeline solutions like Cribl or Databahn into existing security architectures.
Build scalable technical solutions for cloud environments including AWS, Azure, and Google Cloud Platform.
What we're looking for
Must have 5+ years of experience deploying and optimizing enterprise log data pipelines and SIEM solutions in complex environments.
Must have hands-on experience with platforms including CrowdStrike Next-Gen SIEM, Splunk, Microsoft Sentinel, Palo Alto XSIAM, Google SecOps, Humio, or Elastic.
Must have expertise implementing and integrating log data pipeline solutions such as Cribl, Databahn, Bindplane, Vector, or comparable platforms.
Must have experience developing solutions across AWS, Microsoft Azure, and Google Cloud Platform (GCP).
Must possess strong documentation and communication skills to create operating procedures, flow diagrams, and technical reports.
Preferred: Proficiency in programming or scripting languages including Python, Bash, or PowerShell.
Preferred: Experience automating deployments using scripts or Infrastructure as Code (IaC) methodologies.
Preferred: Proficiency in regular expressions for parsing and experience administering applications on Linux/UNIX systems.