Splunk Engineer (Senior Level)
Location: Jersey City NJ
Experience Required: 10 Years
Job Description
We are seeking a highly experienced Senior Splunk Engineer with deep hands-on expertise in Splunk engineering automation scripting and operational support for large-scale enterprise environments. The ideal candidate will have strong proficiency in Python and Ansible along with exposure to AWS-based deployments.
Key Responsibilities
-
Design implement and manage large-scale Splunk Enterprise environments.
-
Develop maintain and optimize Splunk dashboards queries alerts and reports.
-
Architect and configure Indexers Search Heads Forwarders and distributed Splunk clusters.
-
Create and maintain automation scripts using Python and Ansible to streamline operational workflows.
-
Troubleshoot Splunk performance issues ingestion delays indexing problems and search inefficiencies.
-
Onboard new data sources define data models and create scalable ingestion strategies.
-
Ensure data availability integrity and security across all Splunk components.
-
Work closely with security DevOps and cloud teams to support monitoring and observability initiatives.
-
Implement Splunk upgrades patching capacity planning and environment optimization.
-
Support cloud-based logging solutions; AWS CloudWatch Kinesis Lambda experience is a plus.
Required Skills
-
10 years of hands-on experience working with Splunk engineering and administration.
-
Strong knowledge of Splunk architecture deployment scaling and performance tuning.
-
Mandatory scripting experience in Python and Ansible for automation and configuration management.
-
Strong understanding of log management observability tools and SIEM concepts.
-
Ability to write complex SPL queries optimize searches and create high-value dashboards.
-
Experience integrating Splunk with cloud ecosystems; AWS experience is highly preferred.
-
Strong analytical troubleshooting and performance debugging skills.
-
Ability to work independently and collaborate with cross-functional teams.
Splunk Engineer (Senior Level) Location: Jersey City NJExperience Required: 10 Years Job Description We are seeking a highly experienced Senior Splunk Engineer with deep hands-on expertise in Splunk engineering automation scripting and operational support for large-scale enterprise environments. The...
Splunk Engineer (Senior Level)
Location: Jersey City NJ
Experience Required: 10 Years
Job Description
We are seeking a highly experienced Senior Splunk Engineer with deep hands-on expertise in Splunk engineering automation scripting and operational support for large-scale enterprise environments. The ideal candidate will have strong proficiency in Python and Ansible along with exposure to AWS-based deployments.
Key Responsibilities
-
Design implement and manage large-scale Splunk Enterprise environments.
-
Develop maintain and optimize Splunk dashboards queries alerts and reports.
-
Architect and configure Indexers Search Heads Forwarders and distributed Splunk clusters.
-
Create and maintain automation scripts using Python and Ansible to streamline operational workflows.
-
Troubleshoot Splunk performance issues ingestion delays indexing problems and search inefficiencies.
-
Onboard new data sources define data models and create scalable ingestion strategies.
-
Ensure data availability integrity and security across all Splunk components.
-
Work closely with security DevOps and cloud teams to support monitoring and observability initiatives.
-
Implement Splunk upgrades patching capacity planning and environment optimization.
-
Support cloud-based logging solutions; AWS CloudWatch Kinesis Lambda experience is a plus.
Required Skills
-
10 years of hands-on experience working with Splunk engineering and administration.
-
Strong knowledge of Splunk architecture deployment scaling and performance tuning.
-
Mandatory scripting experience in Python and Ansible for automation and configuration management.
-
Strong understanding of log management observability tools and SIEM concepts.
-
Ability to write complex SPL queries optimize searches and create high-value dashboards.
-
Experience integrating Splunk with cloud ecosystems; AWS experience is highly preferred.
-
Strong analytical troubleshooting and performance debugging skills.
-
Ability to work independently and collaborate with cross-functional teams.
View more
View less