Move to New Zealand - Systems Reliability Engineer

16 days ago

Paris, FranceSenior

Responsibilities

Design cloud deployment architectures on Azure alongside core development teams.
Lead provisioning of deployment environments, including servers, services, networking, and communication with technical client stakeholders.
Implement security, scalability, supportability, and performance in solution architectures.
Build continuous integration and deployment pipelines and perform software releases where full automation is not yet available.
Configure monitoring and alerting, integrate tools with support-desk software, and provide technical assistance with ticket triage and troubleshooting.
Participate in business-hours incident response and shared after-hours on-call support, including diagnosis, remediation, reporting, mitigation, and client status communication.
Design and implement continuous improvement and automation to reduce recurring support issues.
Document system architecture and deployment processes with AI assistance and share technical knowledge across teams.

Previous experience as a Site Reliability Engineer, Systems Reliability Engineer, DevOps Engineer, or equivalent.
Comfort using AI to diagnose, script, automate, document, and work within an AI-assisted delivery pipeline.
Expertise developing scalable web applications and 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.
Strong experience with Microsoft Azure deployment architectures, Microsoft DevOps deployment pipelines, GitHub Actions, and Terraform.
Experience administering Linux cloud-based server environments and troubleshooting and configuring virtual networks.
Familiarity configuring New Relic, Dynatrace, or similar monitoring frameworks, including dashboards and alert integrations.
AWS and Bamboo or Bitbucket Pipelines experience is advantageous.
Ability to switch context across technologies, remain calm during high-priority incidents, verify AI-generated diagnoses, and continue learning.
Applicants must be Auckland-based and able to attend the office three days per week, with additional attendance as required.
A cover letter is required; candidates who progress may need to complete police background checks, credit-history checks, other assessments, and provide qualification evidence.

Hybrid working model with work from home and a beautifully designed Auckland office, with three required in-office days per week and occasional additional attendance.
Learning, collaboration, and professional growth opportunities.
Fortnightly knowledge-sharing sessions with lunch.
Employee Share Purchase Scheme.
Work on diverse, commercially minded projects for respected clients.
Competitive salary.

51-200 employees