Splunk Engineer
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.
Apply Now
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.
Apply Now