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Open nowFirst seen 44 hours ago

Splunk Engineer

NTT Data Singapore95 open roles

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Your applicationOpen nowSplunk EngineerNTT Data Singapore
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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 44 hours ago

The posting

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)

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:

o SIEM Platforms: Splunk (must), EL/Elastic

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

o 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.

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