Site Reliability Engineer

Project description

We are seeking a Site Reliability Engineer with more than 10 years of experience to support our client in the Australian banking sector. The role centers on improving service reliability, availability, and operational resilience through comprehensive monitoring, resilience testing, disaster recovery planning, and management of SLIs and SLOs.

Responsibilities

• 1. Improve service reliability, availability, and operational resilience through robust monitoring, resilience testing, disaster recovery planning, and management of SLIs, SLOs, and error budgets. 2. Design and enhance observability capabilities, including monitoring, alerting, dashboards, synthetic monitoring, automated health checks, and visibility across customer journeys and cloud environments. 3. Develop automation, self-healing capabilities, operational tooling, Infrastructure as Code and CI/CD practices to reduce manual effort and improve platform reliability. 4. Participate in major incident response, service restoration, root cause analysis, and continuous improvement initiatives to minimise customer impact and improve recovery times. 5. Design and implement AI-driven operational solutions, utilise LLMs for incident triage and remediation, and drive adoption of GitHub Copilot and AI-assisted engineering practices. 6. Drive capacity management, performance optimisation and reliability improvements to ensure services meet current and future demand.

SKILLS

Must have

• We are seeking a Site Reliability Engineer with more than 10 years of experience to support our client in the Australian banking sector. 1. Demonstrated experience in Site Reliability Engineering (SRE), Production Engineering, DevOps, or Platform Engineering, with a strong understanding of distributed systems, cloud-native technologies, Kubernetes/OpenShift, and modern application architectures. 2. Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. Familiarity with tools such as Elastic, Splunk, Grafana, Prometheus, OpenTelemetry, or similar enterprise monitoring platforms, and drive preventative improvements that enhance application performance and availability. 3. Knowledge of enterprise application, middleware, and content management platforms, including FileNet, ICN, WAS, container platforms, databases and integration technologies. 4. Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand. 5. Familiarity with Infrastructure as Code (IaC), DevSecOps practices and Zero Trust security principles. 6. Proficiency in DevOps toolkits such as Ansible and Chef to support and drive CI/CD and reliability-automation initiatives. 7. Programming and scripting languages including Python, Java, Go, PowerShell, or equivalent technologies to support automation and platform engineering initiatives. 8. Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations.

Nice to have

Familiarity with Infrastructure as Code (IaC), DevSecOps practices and Zero Trust security principles.