Senior Splunk Engineer
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Before you apply
LocationSingapore
Work modeon-site
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentTechnology
Company size1,001–5,000 people
PostedMar 30, 2026 · 7mo ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Mar 30, 202669% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Possess a degree in Computer Science, Engineering, or related discipline
Minimum 8 years of experience in Infrastructure, Cloud, or Site Reliability Engineering related roles
At least 5 years of experience specializing in SIEM/Splunk engineering or observability in financial or regulated environments
Proven hands-on expertise in Splunk
Proven hands-on expertise in EL/Elastic
Proven hands-on expertise in Terraform, Ansible, Python, CI/CD tools
Proven hands-on expertise in AWS (CloudWatch, X-Ray, CloudTrail)
Proven hands-on expertise in Azure (Monitor, Log Analytics, App Insights)
Proven hands-on expertise in Datadog, ServiceNow
Deep understanding of SRE principles, service health modelling, error budgets, and auto-remediation design
Strong analytical and troubleshooting skills, with the ability to perform deep-dive investigations and develop long-term preventive solutions
Familiarity with financial sector operational resilience frameworks, regulatory compliance, and incident governance
Excellent written and verbal communication skills
Strong interpersonal and communication skills to interact with diverse stakeholders
Agile, fast learner and able to adapt to changes
Splunk Certified Power User / Splunk Certified Admin / Splunk Certified Architect
Terraform / Ansible / Python Certified Expert
AWS Certified DevOps Engineer / Azure DevOps Expert
SRE Foundation / Practitioner (DevOps Institute)
ITIL v4 Managing Professional
Skills
Splunk
EL/Elastic
Terraform
Ansible
Python
CI/CD tools
AWS
Azure
Datadog
ServiceNow
CloudWatch
X-Ray
CloudTrail
Monitor
Log Analytics
App Insights
Senior Splunk Engineer for Automation and Reliability Engineering Project
Project Summary
Responsibilities
•
Support Automation and Reliability Engineering project and operations.
•
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.
•
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.
•
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.
•
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 the following technical areas:
•
SIEM Platforms: Splunk (must), EL/Elastic
•
Automation/IaC, Terraform, Ansible, Python, CI/CD tools
•
Cloud and other platforms and integrations: AWS (CloudWatch, X-Ray, CloudTrail), Azure (Monitor, Log Analytics, App Insights), Datadog, ServiceNow
•
Deep understanding of SRE principles, service health modelling, error budgets, and auto-remediation design.
•
Strong analytical and troubleshooting skills, with the ability to perform deep-dive investigations and develop long-term preventive solutions.
•
Familiarity with financial sector operational resilience frameworks, regulatory compliance, and incident governance.
•
Excellent written and verbal communication skills.
•
Strong interpersonal and communication skills to interact with diverse stakeholders.
•
Agile, fast learner and able to adapt to changes
Skillset (Good to have)
Preferred Certifications:
•
Splunk Certified Power User / Splunk Certified Admin / Splunk Certified Architect
•
Terraform / Ansible / Python Certified Expert
•
AWS Certified DevOps Engineer / Azure DevOps Expert
•
SRE Foundation / Practitioner (DevOps Institute)
•
ITIL v4 Managing Professional
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