Senior Splunk Engineer

About the role

Senior Splunk Engineer for Automation and Reliability Engineering Project

Project Summary

- Support Automation and Reliability Engineering project and operations.

- Responsibilities:

- Observability Engineering and Governance

- Architect and maintain enterprise SIEM solutions aligned with operational resilience mandates (e.g., MAS TRM, DORA, APRA CPS 230).

- Lead deployment, configuration, and optimization of Splunk for full-stack visibility across infrastructure, applications, networks, and user experience.

- Define and enforce telemetry data governance standards—metrics, logs, and traces—ensuring consistency, retention compliance, and security.

- Integrate Splunk with incident management, ITSM, and AIOps systems to enable predictive alerting and anomaly detection.

- Act as the SIEM/Splunk subject matter expert (SME) for architecture reviews, platform upgrades, and performance tuning.

- Reliability Engineering and Automation

- Implement and champion SRE frameworks and reliability practices for mission-critical systems.

- Design and automate runbooks, alerts, and self-healing workflows using Python, Ansible, and Terraform.

- Collaborate with Application, Infrastructure, and Cyber teams to embed reliability principles into the delivery lifecycle.

- Conduct resilience, chaos, and capacity testing aligned with business continuity and disaster recovery standards.

- Define and track error budgets, reliability scorecards, and service health indicators for production workloads.

- Cloud & Platform Integration

- Engineer SIEM for cloud-native workloads in AWS and Azure, ensuring visibility across compute, storage, and network layers.

- Integrate Splunk and cloud observability tools into CI/CD pipelines and landing zones to ensure continuous compliance.

- Implement infrastructure-as-code (IaC) models using Terraform and Ansible for consistent, auditable provisioning.

- Collaborate with Cloud, DevOps, and Security teams to ensure telemetry aligns with audit, compliance, and operational risk requirements.

- Operational Excellence and Collaboration

- Drive reduction in incident recurrence, MTTR, and manual intervention through observability-led automation.

- Partner with Service Delivery, Cyber, and Application teams to enable predictive incident prevention and root cause transparency.

- Develop and maintain executive dashboards and reports showcasing availability, reliability KPIs, and operational risk indicators.

- Provide technical leadership during major incidents, post-incident reviews, and audits, ensuring lessons learned are codified into automation and process improvements.

Skillset (Must have)

- Possess a degree in Computer Science, Engineering, or related discipline.