Senior Splunk Engineer for Automation and Reliability Engineering Project
Project Summary
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Support Automation and Reliability Engineering project and operations.
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Responsibilities:
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Observability Engineering and Governance
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Architect and maintain enterprise SIEM solutions aligned with operational resilience mandates (e.g., MAS TRM, DORA, APRA CPS 230).
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Lead deployment, configuration, and optimization of Splunk for full-stack visibility across infrastructure, applications, networks, and user experience.
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Define and enforce telemetry data governance standards—metrics, logs, and traces—ensuring consistency, retention compliance, and security.
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Integrate Splunk with incident management, ITSM, and AIOps systems to enable predictive alerting and anomaly detection.
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Act as the SIEM/Splunk subject matter expert (SME) for architecture reviews, platform upgrades, and performance tuning.
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Reliability Engineering and Automation
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Implement and champion SRE frameworks and reliability practices for mission-critical systems.
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Design and automate runbooks, alerts, and self-healing workflows using Python, Ansible, and Terraform.
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Collaborate with Application, Infrastructure, and Cyber teams to embed reliability principles into the delivery lifecycle.
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Conduct resilience, chaos, and capacity testing aligned with business continuity and disaster recovery standards.
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Define and track error budgets, reliability scorecards, and service health indicators for production workloads.
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Cloud & Platform Integration
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Engineer SIEM for cloud-native workloads in AWS and Azure, ensuring visibility across compute, storage, and network layers.
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Integrate Splunk and cloud observability tools into CI/CD pipelines and landing zones to ensure continuous compliance.
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Implement infrastructure-as-code (IaC) models using Terraform and Ansible for consistent, auditable provisioning.
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Collaborate with Cloud, DevOps, and Security teams to ensure telemetry aligns with audit, compliance, and operational risk requirements.
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Operational Excellence and Collaboration
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Drive reduction in incident recurrence, MTTR, and manual intervention through observability-led automation.
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Partner with Service Delivery, Cyber, and Application teams to enable predictive incident prevention and root cause transparency.
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Develop and maintain executive dashboards and reports showcasing availability, reliability KPIs, and operational risk indicators.
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Provide technical leadership during major incidents, post-incident reviews, and audits, ensuring lessons learned are codified into automation and process improvements.
Skillset (Must have)
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Possess a degree in Computer Science, Engineering, or related discipline.
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Minimum 8 years of experience in Infrastructure, Cloud, or Site Reliability Engineering related roles, with at least 5 years of experience specializing in SIEM/Splunk engineering or observability in financial or regulated environments.
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Proven hands-on expertise in the following technical areas:
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