Cloud Infrastructure & Splunk Specialist

Job Description

Job DescriptionJob Description:

We are seeking an experienced Cloud Infrastructure Splunk Specialist to join our Datacenter Engineering team. You will play a key role in managing cloud infrastructure, security, automation, billing dashboards, and Splunk analytics. The role requires deep experience with Splunk (Splunk Enterprise, SPL/SPLUNK SEARCH PROCESSING LANGUAGE), cloud platforms (AWS, Azure, GCP, OCI), infrastructure-as-code (Terraform, CloudFormation), container orchestration (Kubernetes, Docker, AWS Fargate), scripting (Python, Bash, PowerShell), and monitoring/observability tools (Prometheus, Grafana, CloudWatch, Azure Monitor). Experience with security tooling (Chef InSpec/Automate, TrendMicro Deep Security, CyberArk, Tripwire), CI/CD, and cloud cost optimization (FinOps) is highly desirable.

Responsibilities:

1. Design, develop, and maintain Splunk Dashboards for monitoring and reporting, including creating advanced SPL queries, saved searches, alerts, and visualizations.

2. Perform trend and data analysis on cloud resources, infrastructure, and billing systems to identify optimization and cost-savings opportunities.

3. Oversee data collection systems and Cloud CLI scripting for automation (AWS CLI, Azure CLI, gcloud, OCI CLI). Manage Splunk forwarders, indexers, clustering and ingestion pipelines.

4. Manage and maintain Cloud Billing Dashboards across AWS, Azure, Oracle Cloud, and Google Cloud, integrating billing APIs and usage reports.

5. Integrate and monitor billing APIs from multiple cloud providers and implement cost-allocation, tagging, and FinOps best practices.

6. Collaborate with security teams to ensure infrastructure integrity and compliance (IAM, vulnerability management, SOC2/PCI readiness).

7. Perform proactive monitoring, troubleshooting, and resolution of system issues using observability tooling (Prometheus, Grafana, ELK, Splunk).

8. Work closely with cross-functional teams to support cloud automation and containerized workloads, contributing to IaC templates (Terraform/CloudFormation), CI/CD pipelines (Jenkins/GitHub Actions/GitLab CI), and deployment automation.

9. Provide documentation, runbooks, best practices, and recommendations for infrastructure and monitoring improvements; ensure reproducible and auditable configurations (YAML, JSON).

10. Ensure continuous improvements in monitoring, automation, and reporting systems, including alert tuning, capacity planning and performance optimization.

Requirements

1. 8–10 years of hands-on experience in Wintel Administration and enterprise datacenter/cloud operations.

2. Strong understanding of host-based firewalls, intrusion protection, data integrity, and vulnerability scanners; hands-on with EDR/IDS/IPS tools and vulnerability remediation workflows.

3. Expertise in AWS and Azure security concepts including IAM, KMS, VPC/Networking, security groups, and cloud security best practices.

4. Hands-on experience with Chef InSpec / Automate, TrendMicro Deep Security, CyberArk, and Tripwire and integration of these tools into monitoring/alerting systems.

5. Working knowledge of containers (Kubernetes, AWS Fargate, Docker) and related ecosystem tools (Helm, Kustomize).

6. Strong Splunk skills with proven ability to create searches, reports, dashboards, manage indexing, clustering, and optimize ingest pipelines.

7. Ability to diagnose and resolve technical issues efficiently under pressure, including root cause analysis and incident response.

8. Excellent communication skills (verbal written) with cross-team collaboration and documentation capabilities.

9. Familiarity with cloud billing systems and cost-optimization practices, including experience with billing APIs and cost reporting tools.

10. Self-starter with proactive approach and thorough documentation skills; experience with Git-based workflows and ticketing systems.

Preferred Qualifications:

• Experience across Azure, AWS, OCI, and GCP, with multi-cloud operational experience.

• Familiarity with DevOps practices and automation workflows, IaC and CI/CD integration.

• Exposure to enterprise-scale datacenter engineering and hybrid environments.