Systems Reliability Engineer
HybridAuckland, Auckland, New Zealand
Job Summary
Design cloud deployment architectures on Azure and lead provisioning of servers, services, and networking environments. Ensure security, scalability, and performance are implemented while assisting teams to build continuous integration and deployment pipelines. Carry out scheduled software releases, configure monitoring and alerting tools, and provide technical assistance for ticket triaging and troubleshooting. Actively participate in diagnosing reactive support issues during business hours and on a shared on-call basis, completing incident reports with mitigation recommendations. Design and implement proactive continuous improvement programmes to minimise support occurrences, automating recurring tasks rather than repeating them. Document system architecture and deployment processes with AI assistance to share technical knowledge across teams. This role supports existing operations alongside core development teams to create hands-off, scalable systems.
Required Qualifications
- Previous experience as a Site/Systems Reliability Engineer, DevOps Engineer or equivalent role
- Agentic-first: very comfortable using AI to diagnose, script, automate and document, and to work within an AI-assisted delivery pipeline
- Expertise developing scalable web applications
- Some proficiency in Rust, Java, .NET or Go
- Experience in JavaScript, HTML, CSS, Node.js, ReactJS, AngularJS or similar front-end frameworks
- Proven scripting experience using PowerShell, Ruby, Python, shell or other common scripting languages, including the use of AI tools to help construct these
- Strong experience in Microsoft Azure deployment architectures
- Strong experience in Microsoft DevOps deployment pipelines
- Strong experience in GitHub Actions
- Strong experience in Terraform
- System administration of Linux cloud-based server environments
- Troubleshooting and configuration of virtual networks
- Familiarity with configuration of New Relic, Dynatrace or similar monitoring framework, including building dashboards and alerting integration
- Ability to easily switch context across different technologies and complex environments
- Ability to remain calm under the pressure of high-priority issue resolution scenarios
- Good judgement about when to trust an AI-generated diagnosis and when to verify by hand
- You must be Auckland based for this role
- Office attendance is currently required three days per week
- Candidates that progress may be asked to agree to a police background check
- Candidates that progress may be asked to agree to a credit history check
Desired Qualifications
- Some experience with AWS and Bamboo/Bitbucket Pipelines tools
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