Previous experience as a Site Reliability Engineer, Systems Reliability Engineer, DevOps Engineer, or equivalent role.
Comfort using artificial intelligence to diagnose, script, automate, and document, and to work within an artificial-intelligence-assisted delivery pipeline.
Expertise developing scalable web applications.
Some proficiency in Rust, Java, .NET, or Go, and experience with 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 use of artificial intelligence tools to help construct scripts.
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 configuring New Relic, Dynatrace, or a similar monitoring framework, including building dashboards and alerting integration.
Ability to switch context across different technologies and complex environments.
Ability to remain calm under the pressure of high-priority issue-resolution scenarios.
Good judgment about when to trust an artificial-intelligence-generated diagnosis and when to verify it manually.
Strong desire to learn and upskill.
Must be based in Auckland and attend the office three days per week, with additional attendance occasionally as required by client and team needs.
Responsibilities
Work alongside core development teams to design cloud deployment architectures on Azure.
Lead provisioning of deployment environments, including servers, services, and networking, and communicate with technical client stakeholders.
Ensure security, scalability, supportability, and performance are implemented in solution architectures.
Assist development teams in building continuous integration and deployment pipelines using toolsets selected for the technology stack.
Carry out scheduled software releases with development teams when full automation has not yet been achieved.
Configure monitoring and alerting tools and integrate them into support desk software.
Provide technical assistance with support-ticket triage and troubleshooting, verifying symptoms, impact, and responsibility for further investigation.
Participate in diagnosing and resolving reactive support issues during business hours and on a shared after-hours on-call basis.
Complete incident reports with recommendations for ongoing mitigation and implement mitigations with core development teams.
Monitor incident progress and communicate status updates to clients.
Design and implement proactive continuous-improvement programmes to minimise support issues.
Automate recurring tasks rather than repeating them manually.
Document system architecture and configuration and deployment processes with artificial-intelligence assistance, and proactively share technical knowledge with support developers across multiple teams.
Desired Qualifications
Some experience with AWS and Bamboo or Bitbucket Pipelines tools.
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.
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.
Cover Letter:
*Please note - only applications with a cover letter will be reviewed, please do not use AI to write this.
It's very important to us that you include a cover letter with your application - it's your chance to tell us more about who you are and what you value.
At Propellerhead, we use AI thoughtfully as part of our delivery practices - considered integration helps us stay at the forefront of technology and create innovative, valuable solutions for our clients. In recruitment, however, AI isn’t used to assess skills, experience or suitability for a role. Every application is reviewed by a real person to ensure a fair, engaged and thoughtfully human process. Therefore we kindly ask that you refrain from using it in your application. We're excited to learn about your unique experiences and ideas, and want to work with you, so please apply as your authentic self!
More:
Candidates that progress may be asked to agree to a police background check, credit history check, other assessments and provide evidence of qualifications.