
Senior Splunk Infrastructure Engineer
SoftStandard SolutionsContract
Required Skillset:
PythonSplunkBashUbuntuNetworkingSaltSearch Head ClusteringIndexer ClusteringUnix/LinuxRHELSplunk Enterprise Security (ES)Advanced SPL (Splunk Processing Language)SaltStackCentOSGoogle Cloud Platform (GCP)GCE
Job Description
- Splunk Administration: Manage the health, performance, and stability of multiple Splunk clusters (Search Head Clusters, Indexer Clusters, and Heavy Forwarders).
- Splunk Enterprise Security (ES) Support: maintain and support the underlying infrastructure for Splunk ES, ensuring optimal performance for security operations.
- Heavy Forwarder & Pipeline Management: Manage applications, parsing rules, and data pipelines on Heavy Forwarders to ensure efficient data ingestion and routing.
- Reliability & HA/DR: Design and maintain High Availability (HA) and Disaster Recovery (DR) strategies to ensure business continuity and platform resilience across regions.
- Safe Configuration Management: Champion proactive engineering practices by implementing safe deployment strategies for SaltStack configurations, including canary testing, validation, and staged rollouts to minimize production incidents.
- Infrastructure as Code: Maintain and write complex SaltStack states and formulas to manage Splunk configurations and underlying Linux VMs.
- GCP Operations: Provision, monitor, and scale infrastructure within Google Cloud Platform.
- System Optimization: Perform deep-dive troubleshooting on Linux systems (kernel tuning, disk I/O, memory management) to ensure optimal Splunk performance.
- On-Call Support: Participate in the on-call rotation to respond to critical incidents affecting Splunk infrastructure availability and performance, ensuring 24/7 reliability.
- Maintenance & Upgrades: Execute distinct maintenance windows, version upgrades, and patching cycles.
- Documentation: Update runbooks and technical documentation within our repository to ensure knowledge sharing, specifically focusing on configuration changes and pipeline architecture.
Required Qualifications
- Splunk Expertise: 5+ years of experience administering large-scale Splunk Enterprise environments. Proven experience with Indexer Clustering and Search Head Clustering.
- Advanced SPL (Splunk Processing Language): Proficiency in writing, debugging, and optimizing complex SPL queries to support dashboarding, alerting, and data analysis.
- Splunk Enterprise Security (ES): Hands-on experience administering and maintaining Splunk ES environments.
- Configuration Management: Strong proficiency with SaltStack (Salt). You must be comfortable writing custom states and managing configurations for thousands of nodes.
- Unix/Linux Internals: Deep understanding of Linux administration (RHEL/CentOS/Ubuntu). Ability to debug resource contention, file system issues, and network bottlenecks.
- Cloud Infrastructure: Hands-on experience with Google Cloud Platform (GCP), specifically GCE and networking.
- Scripting: Proficiency in Python or Bash for automation tasks.
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