Systems Reliability Engineer

Jobtailor

Auckland

On-site

NZD 120,000 - 160,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor is seeking a Site Reliability/DevOps professional based in Auckland to design scalable cloud architectures on Microsoft Azure and automate deployment pipelines. The role focuses on reliability, performance, and cost efficiency across hybrid work environments.

The ideal candidate combines strong coding skills across Rust/Java/.NET/Go with front-end familiarity and solid scripting in PowerShell, Python, or Ruby.

Qualifications

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.

Responsibilities

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

Skills

Rust

Java

.NET

JavaScript

HTML

CSS

Node.js

ReactJS

AngularJS

Tools

Microsoft DevOps

GitHub Actions

Terraform

Linux Cloud-Based Server Environments

AWS

Bamboo

Bitbucket Pipelines

Job description

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