Systems Reliability Engineer

Work alongside core development teams throughout the development lifecycle to ensure systems are scalable, robust, and supportable Optimise software and infrastructure to improve reliability and decrease cost Design cloud deployment architectures on Azure Lead provisioning of deployment environments, including servers, services, networking, and communications with technical client stakeholders Ensure security, scalability, supportability, and performance in solution architectures Assist development teams with continuous integration and deployment pipelines Carry out scheduled software releases where full automation has not been achieved Configure monitoring and alerting tools and integrate them with support desk software Provide technical assistance for support ticket triaging and troubleshooting Diagnose and remedy reactive support issues during business hours and shared after-hours on-call Complete incident reports and implement ongoing mitigations Monitor incident progress and communicate status updates to clients Design and implement proactive continuous improvement programmes Automate recurring tasks Document system architecture and configuration/deployment processes with AI assistance Share technical knowledge with support developers across multiple teams Requirements Previous experience as a Site/Systems Reliability Engineer, DevOps Engineer, or equivalent Very comfortable using AI to diagnose, script, automate, and document within an AI-assisted delivery pipeline Expertise developing scalable web applications Some proficiency in Rust, Java, .NET, or Go Experience with JavaScript, HTML, CSS, Node.js, ReactJS, AngularJS, or similar front-end frameworks Proven scripting experience with PowerShell, Ruby, Python, shell, or other common scripting languages Experience using AI tools to help construct scripts Strong experience with Microsoft Azure deployment architectures, Microsoft DevOps deployment pipelines, GitHub Actions, and Terraform System administration of Linux cloud-based server environments Troubleshooting and configuration of virtual networks Familiarity with New Relic, Dynatrace, or similar monitoring frameworks, including dashboards and alerting integration AWS and Bamboo/Bitbucket Pipelines experience is advantageous Ability to switch context across different technologies and complex environments Ability to remain calm during high-priority issue resolution Good judgement about when to trust an AI-generated diagnosis and when to verify manually Strong desire to learn and up-skill Must be Auckland based Hybrid attendance: work from home and on-site; office attendance required three days per week and occasionally as needed for client and team requirements Candidates who progress may need to agree to a police background check, credit history check, other assessments, and provide evidence of qualifications Cover letter required; applications without one will not be reviewed Core Competencies Demonstrates expertise in designing and implementing scalable cloud deployment architectures on Microsoft Azure, with a strong focus on automation, monitoring, and continuous improvement. Proficient in scripting and troubleshooting across various technologies, ensuring system reliability and performance. Highest-signal resume keywords Microsoft Azure Deployment Architectures Scripting Experience with PowerShell, Ruby, Python Continuous Integration and Deployment Pipelines Monitoring Frameworks like New Relic or Dynatrace Scalable Web Application Development ATS Optimization Keywords Hard Skills Rust Java .NET Go JavaScript HTML CSS Node.js ReactJS AngularJS Soft Skills Ability to Remain Calm During High-Priority Issue Resolution Good Judgement in AI Diagnosis Strong Desire to Learn and Up-Skill Industry Keywords Site Reliability Engineer Systems Reliability Engineer DevOps Engineer Cloud Deployment Architectures Incident Reports Proactive Continuous Improvement Programmes Tools & Technologies Microsoft DevOps GitHub Actions Terraform Linux Cloud-Based Server Environments AWS Bamboo Bitbucket Pipelines #J-18808-Ljbffr