Job description

• 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.

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.

SKILLS: Splunk,SIEM, ITSM, Terraform, Python, Ansible, CI/CD, DevOps, AWS, Azure