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Systems Reliability Engineer
Propellerhead. Work alongside core development teams to design cloud deployment architectures on Azure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing cloud deployment architectures on Microsoft Azure, with a strong focus on automation, monitoring, and incident management. Proficient in scripting and developing scalable web applications while ensuring system reliability and performance.
Highest-signal resume keywords
Microsoft Azure Deployment ArchitecturesContinuous Integration and Deployment PipelinesScripting Experience in PowerShell, Ruby, PythonProficiency in Rust, Java, .NET, or GoSystem Administration of Linux Cloud-Based Server Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud Deployment ArchitecturesScripting in PowerShellScripting in RubyScripting in PythonRust ProgrammingJava ProgrammingC# ProgrammingGo ProgrammingJavaScript DevelopmentHTML and CSS Development
Soft Skills
Calm Under PressureGood JudgementDesire to LearnTechnical Knowledge SharingContext Switching Ability
Tools & Technologies
Microsoft DevOpsGitHub ActionsTerraformNew RelicDynatrace
Industry Keywords
Site Reliability EngineerDevOps EngineerCloud-Based Server EnvironmentsVirtual NetworksIncident Management
Tech Stack
Tools & technologiesAngularAzureCloudJavaJavaScriptLinuxNode.jsPythonReactRubyRustTerraformGo.NET
About the role
Key responsibilities & impact- Work alongside core development teams to 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 yet been achieved
- Configure monitoring and alerting tools and integrate them with support desk software
- Provide technical assistance for support-ticket triage and troubleshooting
- 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
- 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 repeat them manually
- Document system architecture and configuration/deployment processes with AI assistance
- Share technical knowledge with support developers across multiple teams
- Support existing operations and optimise software and infrastructure to improve reliability and reduce costs
Requirements
What you’ll need- Previous experience as a Site/Systems Reliability Engineer, DevOps Engineer, or equivalent role
- Comfortable using AI to diagnose, script, automate, and document within an AI-assisted delivery pipeline
- Expertise developing scalable web applications
- Proficiency in Rust, Java, .NET, or Go
- 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
- 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
- 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 AI-generated diagnoses and when to verify manually
- Strong desire to learn and up-skill
- Must be based in Auckland
- Must attend the office three days per week and occasionally as required by client and team needs
- Candidates who progress may need to agree to police background checks, credit history checks, other assessments, and provide evidence of qualifications
Benefits
Comp & perks- Innovative team culture focused on learning and collaboration
- Interesting, diverse, and commercially minded work for well-respected clients
- Professional growth and development opportunities
- Fortnightly knowledge-sharing sessions with lunch
- Competitive salary
- Employee Share Purchase Scheme
- Hybrid working model with work from the office and home
- Beautifully designed office
- Equal opportunity workplace free from discrimination