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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: 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 Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.