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Full-time
bachelor degree
Posted 5d ago
~40 hrs/week
Responsibilities
Architect and maintain enterprise SIEM solutions and observability frameworks to ensure operational resilience and full-stack visibility. Implement SRE practices, automate runbooks, and integrate cloud-native workloads across AWS and Azure.
Requirements
Requires a degree in Computer Science or Engineering with at least 8 years of experience in Infrastructure/SRE and 5 years specializing in Splunk/SIEM. Must be proficient in Python, Terraform, Ansible, and cloud platforms within regulated financial environments.
Full job description
Senior Splunk Engineer for Automation and Reliability Engineering Project
Project Summary
Support Automation and Reliability Engineering project and operations.
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)
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:
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Related keywords
SplunkSIEMSREObservabilityTerraformAnsiblePythonAWSAzureElasticsearchCI/CDInfrastructure as CodeMAS TRMDORAAPRA CPS 230CloudWatch
AvePoint is the unifying Trust Layer for AI. AvePoint enables more than 28,000 organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments — so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit www.avepoint.com.
Offices: 525 Washington Blvd, Suite 1400, Jersey City, New Jersey 07310, US · 233 N Michigan Ave, Suite 1980, Chicago, IL 60601, US · 2101 Wilson Blvd, Suite 820, Arlington, VA 22201, US · 901 East Byrd Street, Suite 900, Richmond, VA 23219, US · 5080 Spectrum Street, Suite 1000 E., Addison, TX 75001, US
AvePoint is the unifying Trust Layer for AI. AvePoint enables more than 28,000 organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments — so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit www.avepoint.com.
Offices: 525 Washington Blvd, Suite 1400, Jersey City, New Jersey 07310, US · 233 N Michigan Ave, Suite 1980, Chicago, IL 60601, US · 2101 Wilson Blvd, Suite 820, Arlington, VA 22201, US · 901 East Byrd Street, Suite 900, Richmond, VA 23219, US · 5080 Spectrum Street, Suite 1000 E., Addison, TX 75001, US