Senior Splunk Engineer

Job Summary

We are looking for a highly skilled Senior Splunk Engineer to design, implement, and manage enterprise-scale SIEM and observability solutions. This role will focus on enhancing system visibility, ensuring platform reliability, and supporting security and compliance requirements within a regulated environment. The ideal candidate will have strong expertise in Splunk, cloud platforms, and SRE practices, along with the ability to troubleshoot complex issues and drive continuous improvements.

Responsibilities

• Design, implement, and maintain Splunk-based SIEM and observability platforms.

• Develop and optimize log ingestion, parsing, correlation searches, dashboards, and alerts.

• Integrate Splunk with cloud platforms (AWS, Azure) and enterprise tools such as ServiceNow and Datadog.

• Define and implement monitoring strategies, including SLIs/SLOs, service health models, and alerting frameworks.

• Perform incident investigation, troubleshooting, and root cause analysis (RCA) for system and application issues.

• Build and implement automation and auto-remediation solutions using Terraform, Ansible, and Python.

• Support CI/CD pipelines for Splunk configurations and infrastructure deployments.

• Ensure adherence to security, compliance, and regulatory standards, particularly within financial services environments.

• Collaborate with cross-functional teams (Infrastructure, Security, DevOps, and Application teams) to improve observability and reliability.

• Drive continuous improvement initiatives and adopt SRE best practices.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

• Minimum 8 years of experience in Infrastructure, Cloud, or SRE roles, with at least 5 years specializing in Splunk/SIEM engineering or observability.

• Strong hands-on expertise in:

o SIEM Platforms: Splunk (mandatory), Elastic (ELK Stack)

o Automation & IaC: Terraform, Ansible, Python, CI/CD tools

o Cloud Platforms & Integrations:

 AWS (CloudWatch, X-Ray, CloudTrail)

 Azure (Monitor, Log Analytics, Application Insights)

 Datadog, ServiceNow

• Deep understanding of SRE principles, including service health modeling, SLIs/SLOs, error budgets, and auto-remediation.

• Strong analytical and troubleshooting skills with experience in deep-dive investigations and long-term solutioning.

• Familiarity with financial sector operational resilience, regulatory compliance, and incident governance frameworks.

• Excellent written and verbal communication skills.

• Strong interpersonal skills with the ability to engage and collaborate with diverse stakeholders.

• Agile mindset with the ability to learn quickly and adapt to changing environments.