Move to New Zealand - Systems Reliability Engineer

Lever, Inc.

Auckland

Hybrid

NZD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Knowledge sharing sessions
Employee Share Purchase Scheme
Hybrid work model
Competitive salary

Job summary

Propellerhead in Auckland, New Zealand, is looking for an experienced, AI-native Systems Reliability Engineer to join our Engineering Team. You will support operations, improve reliability, and optimise software and infrastructure in an AI-assisted delivery pipeline.

You will design Azure cloud deployments, manage deployments and networking, ensure security and performance, and automate CI/CD pipelines while contributing to proactive problem solving in a hybrid Auckland-based role.

Qualifications

  • Previous experience as a Site/Systems Reliability Engineer, DevOps Engineer or equivalent role.
  • Agentic-first mindset: comfortable using AI to diagnose, script, automate and document in an AI-assisted delivery pipeline.
  • Expertise developing scalable web applications.
  • Proficiency in Rust, Java, .NET or Go; experience with JavaScript frameworks (Node.js, ReactJS, AngularJS).
  • Scripting experience using PowerShell, Ruby, Python, shells; AI-assisted tooling welcome.
  • Strong experience with Azure deployment architectures, DevOps pipelines, GitHub Actions, Terraform.
  • System administration of Linux cloud-based servers.
  • Troubleshooting and configuring virtual networks.
  • Familiarity with monitoring frameworks such as New Relic, Dynatrace; dashboards and alerts.
  • Experience with AWS and Bamboo/Bitbucket Pipelines is a plus.
  • Ability to switch context across complex environments; calm under pressure.
  • Willingness to learn and up-skill.
  • Auckland-based role; hybrid working with mandatory in-office three days/week.

Responsibilities

  • Design cloud deployment architectures on Azure with core development teams.
  • Provision deployment environments including servers, services, networking, and client communications.
  • Ensure security, scalability, and performance in solution architectures.
  • Build CI/CD pipelines and automation for development stacks.
  • Coordinate automatic and partial manual software releases with teams.
  • Configure monitoring and alerting tools and integrate with support systems.
  • Assist with support triage, troubleshooting, and incident verification.
  • Participate in on-call rotations and post-incident reviews.
  • Document architecture and deployment processes with AI assistance.
  • Share knowledge across teams to reduce repeat issues.

Skills

SRE
DevOps
Azure
Terraform
GitHub Actions
PowerShell
Python
Ruby
Go
JavaScript
ReactJS
Node.js
Linux
New Relic
Dynatrace
AWS

Tools

Terraform
GitHub Actions
New Relic
Dynatrace
Bamboo/Bitbucket Pipelines

Job description

Work alongside our innovative team based in Auckland, New Zealand! We are seeking talented individuals excited about the opportunity to learn, expand their skillset and support our company.

We welcome applications from individuals located internationally looking to relocate to Auckland, New Zealand. This role is based in Auckland and requires in-office attendance (hybrid).

Propellerhead hires exceptional talent from all around the globe and many of our people have relocated to New Zealand to join our team. We've created this website packed full of information about moving to New Zealand to work for Propellerhead, if you're interested in making the move to our wonderful country.

Prior to applying, please be aware that the final stage of our recruitment process is an in-person interview in New Zealand.

The Role:

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.

Propellerhead operates a hybrid working model (work from our office and from your own home). While you must be based in Auckland for this role, we warmly welcome applications from across New Zealand and internationally who are planning to relocate to Auckland. This particular role requires regular in-person office attendance.

We offer a culture built on trust, continuous learning, and meaningful impact. You'll join a team that values integrity over ego, and clarity over complexity.


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.
  • Expertise developing scalable web applications.
  • Some proficiency in Rust, Java, .NET or Go. Experience in JavaScript, HTML, CSS, Node.js, ReactJS, AngularJS or similar front‑end frameworks.
  • 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.

Benefits:
  • 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.

Learn more about our company here.

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