Systems Reliability Engineer

Propellerhead

Systems Reliability Engineer optimizing Azure infrastructure and custom digital platforms at Propellerhead, a software services company. Improving reliability, automation, monitoring, deployments, and incident response for client solutions.

Posted 8/13/2026full-timeAuckland • 🇳🇿 New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ArchitecturesScripting Experience with PowerShell, Ruby, PythonContinuous Integration and Deployment PipelinesMonitoring Frameworks like New Relic or DynatraceScalable Web Application Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

RustJava.NETGoJavaScriptHTMLCSSNode.jsReactJSAngularJS

Soft Skills

Ability to Remain Calm During High-Priority Issue ResolutionGood Judgement in AI DiagnosisStrong Desire to Learn and Up-Skill

Tools & Technologies

Microsoft DevOpsGitHub ActionsTerraformLinux Cloud-Based Server EnvironmentsAWSBambooBitbucket Pipelines

Industry Keywords

Site Reliability EngineerSystems Reliability EngineerDevOps EngineerCloud Deployment ArchitecturesIncident ReportsProactive Continuous Improvement Programmes

Tech Stack

Tools & technologies

AngularAWSAzureCloudGoJavaJavaScriptLinux.NETNode.jsPythonReactRubyRustTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Innovative team culture focused on learning and collaboration
Interesting, diverse, commercially minded work for well-respected clients
Professional growth and development opportunities
Fortnightly knowledge sharing sessions, with lunch
Competitive salary
Employee Share Purchase Scheme offering
Hybrid working model with work from home and office
Equal opportunity workplace free from discrimination