Senior Splunk Infrastructure Engineer

AskitcContract
North Carolina
5 - 9 YearsApr 21st, 2026
55 ViewsBe an Early Applicant
Required Skillset:
PythonGoogle Cloud PlatformKubernetesHelmBashUbuntuTerraformMicrosoft AzureAmazon Web ServicesFluxRed Hat Enterprise LinuxGoogle Compute EngineSplunk EnterpriseSplunk Enterprise SecuritySearch Head ClusteringIndexer ClusteringLinux administrationOpenTelemetrySaltStackCentOSSPL (Splunk Processing Language)

Job Description

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.

 

Preferred Qualifications

  • Terraform & Infrastructure Workflow: Experience using Terraform for infrastructure provisioning, combined with SaltStack for configuration management. Ideal candidates understand the distinction and interaction between provisioning (Terraform) and configuration (Salt).
  • Kubernetes & GitOps: Experience with Helm and Flux for managing Kubernetes resources, utilizing GitOps methodologies to drive consistent and automated deployments.
  • "Done For You" / Platform Engineering: Experience building "Done for you" solutions or paved paths that abstract infrastructure complexity for internal customers, enabling self-service and standardization.
  • Multi-Cloud Architecture: Experience managing infrastructure across multiple cloud providers (e.g., GCP, AWS, Azure), understanding the nuances of hybrid networking and data locality.
  • OpenTelemetry (OTEL): Knowledge of migration strategies from Splunk Universal Forwarders to OTEL Collectors to standardize data formats.
  • Experience working in a highly regulated fintech environment.

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