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Senior Splunk Engineer
ICT
💰 Salary Not shared
📊 Market S$8,000–S$12,000/mo (S$96,000–S$144,000/yr)
About the Company
The Unifying Trust Layer for AI AvePoint is the global leader in data protection, unifying data security, governance, and resilience to provide a trusted foundation for AI. More than 28,000 customers rely on the AvePoint Confidence Platform to secure, govern, and rapidly recover data across Microsoft, Google, Salesforce, and other cloud environments. With a single platform for lifecycle control, multicloud governance, and rapid recovery paired with clear ownership across the business, we prevent overexposure and sprawl, modernize legacy and fragmented data, and minimize data loss and interruption. Our global partner ecosystem includes 6,000 MSPs, VARs, and SIs, and our solutions are available in over 100 cloud marketplaces. To learn more, visit www.avepoint.com. Data Security Software Products Specialties: SharePoint Governance, SharePoint Migration, SharePoint Management, SharePoint Integration, SharePoint Optimization, SharePoint Reporting, SharePoint Protection, Office 365 Migration, Office 365 Management, Office 365 Protection, Office 365 Governance, Microsoft Teams Governance, Power Platform Governance
About the Role
This role supports the Automation and Reliability Engineering project and operations.
Responsibilities
- ● 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.
- ● 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.
- ● 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.
- ● 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.
Requirements
- ● Possess a degree in Computer Science, Engineering, or related discipline.
- ● 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.
- ● Proven hands-on expertise in SIEM Platforms: Splunk (must), EL/Elastic.
- ● Proven hands-on expertise in Automation/IaC, Terraform, Ansible, Python, CI/CD tools.
- ● Proven hands-on expertise in Cloud and other platforms and integrations: AWS (CloudWatch, X-Ray, CloudTrail), Azure (Monitor, Log Analytics, App).
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