Systems Reliability Engineer

JobSpace; Auckland; Hybrid; NZD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Employee Share Purchase Scheme

Hybrid work model

Job summary

Propellerhead is seeking an AI-native Systems Reliability Engineer in Auckland to strengthen our engineering team. You will design Azure deployments, automate CI/CD pipelines, and implement robust monitoring while leveraging AI to diagnose and script solutions.

This role involves on-call support and continuous improvement across multi-team environments. You will work in a hybrid model, combining remote work with three days per week in our Auckland office, collaborating with clients and

Qualifications

• Previous experience as Site/Systems Reliability Engineer or DevOps engineer.
• Agentic-first approach using AI to diagnose, script, automate and document.
• Scripting experience with PowerShell, Python or shell; AI-assisted tools welcome.
• Strong Azure deployment architectures and DevOps pipelines; Terraform expertise.
• Linux server administration and virtual networks troubleshooting.
• Monitoring frameworks (New Relic, Dynatrace); ability to build dashboards.
• Experience with AWS and Bamboo/Bitbucket Pipelines is advantageous.
• Ability to switch context across multiple technologies and stay calm under pressure.

Responsibilities

• Design cloud deployment architectures on Azure with core development teams.
• Provision deployment environments and coordinate with stakeholders.
• Ensure security, scalability, and performance in solution architectures.
• Build CI/CD pipelines and automate software releases where needed.
• Configure monitoring and alerting; integrate with support tools.
• Assist triage and troubleshooting of support tickets; verify symptoms.
• Participate in on-call duties; provide incident reports and mitigations.
• Lead proactive continuous improvement programmes to reduce issues.

Skills

AI tooling

SRE/DevOps

PowerShell/Python

Azure deployments

Linux admin

Networking

Monitoring (New Relic)

Terraform

GitHub Actions

AWS familiarity

Tools

Terraform

GitHub Actions

Azure DevOps

New Relic

Dynatrace

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

We're looking for an experienced, AI-native Systems Reliability Engineer to join our Engineering Team. This team works alongside our core development teams to support existing operations, with a mandate for continuous improvement and the goal to create systems that are as "hands-off" as possible. You'll work with our delivery teams throughout the development lifecycle to ensure systems delivered are scalable, robust, and supportable. You'll also work on optimising our software and infrastructure to improve reliability and decrease cost.

You are agentic-first. You reach for AI to diagnose, script, automate and document as a matter of course, and you are at home operating within an AI-assisted delivery pipeline.

There is an element of working on support issues arising in real time while also participating in DevOps tasks to implement changes and investigate problems.

In both instances, the expectation is that AI does the first pass and you direct and verify it.

Role Responsibilities:

• Working alongside core development teams to design cloud deployment architectures on Azure.
• Leading the provisioning of deployment environments - including all aspects of servers, services and networking - and communications with technical client stakeholders.
• Ensuring aspects of security, scalability, supportability and performance are implemented in solution architectures.
• Assisting development teams to build continuous integration and deployment pipelines using toolsets selected for the particular technology stack.
• Carrying out scheduled software releases in partnership with development teams where full automation has not yet been achieved.
• Configuring monitoring and alerting tools, and integrate into support desk software.
• Providing technical assistance to support ticket triaging and troubleshooting, while verifying the symptoms, impact and responsibility for further investigation.
• Actively participating in the diagnosis and remedy of reactive support issues during business hours and on a shared on-call after hours basis.
• Completing incident reports, including recommendations for ongoing mitigation. Implement mitigations in partnership with core development teams.
• Monitoring incident progress, and communicating status updates to clients.
• Designing and implementing proactive continuous improvement programmes for our solutions to minimise the occurrence of support issues.
• Automating first. When a task recurs, you build the automation rather than repeat it.
• Documenting, with AI-assistance, system architecture and configuration/ deployment processes; proactively sharing technical knowledge with support developers across multiple teams.

Skills & Experience Required:

• Previous experience as a Site/Systems Reliability Engineer, DevOps Engineer or equivalent role.
• Agentic-first: you are very comfortable using AI to diagnose, script, automate and document, and to work within an AI-assisted delivery pipeline. This is central to the role.
• 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, Microsoft DevOps deployment pipelines, GitHub Actions, and 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.
• Some experience with AWS and Bamboo/Bitbucket Pipelines tools would be an advantage.
• 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.
• A strong desire to learn and up-skill.
• You must be Auckland based for this role. We offer a hybrid working model (working from home and working on-site), however office attendance is currently required three days per week on our dedicated teams in-office days, and occasionally as needed due to client and team requirements.

About Propellerhead:

Propellerhead is a leading software services company that designs, delivers, and maintains large-scale, custom-built digital platforms across a range of technologies. We place emphasis on producing technology which is meaningful, has value, and can make a difference in the world. We foster long lasting and trusting relationships with all our clients. Over our 20+ years in the market we have worked with a diverse range of commercial, non-profit, and government organisations.

How We Build Software:

We build software by structuring solutions in a product-centric manner and focusing on continuously delivering measurable outcomes into production. Our work starts from real stakeholder needs and the value they unlock, with an AI-assisted pipeline now generating much of the code.As a result, our digital platforms are a mixture of custom components and external services which produce a powerful and engaging experience when combined.

• Be part of an innovative team, with a culture of learning and collaboration.
• Contribute to interesting, diverse, and commercially minded work for well-respected clients.
• Opportunity for professional growth and development.
• Fortnightly knowledge sharing sessions, with lunch.
• Competitive salary. Employee Share Purchase Scheme offering.
• This role is Auckland based, regular in-office attendance is required. Work within our beautifully designed office and from home (hybrid working model).
• Propellerhead is an equal opportunity workplace which is free from discrimination.

More:

Candidates that progress may be asked to agree to a police background check, credit history check, other assessments and provide evidence of qualifications.