Top Software Engineer Jobs in New Zealand

Design, build, and maintain frontend products, platform services, infrastructure, microservices, libraries, tools, and applications powering Atlassian Cloud. Develop scalable, low-latency systems using modern web architectures and distributed systems principles. Implement, integrate, tune, test, and troubleshoot software while collaborating with designers and engineers in an agile environment to improve user experiences.

Build full-stack People and Talent products spanning React front ends, Python or Node services, APIs, data structures, and pipelines. Own features from scoping through deployment, maintain engineering foundations, incorporate AI thoughtfully, and protect sensitive people data through access, retention, and audit controls. Collaborate closely with People product managers to improve hiring, onboarding, performance, payroll, and employee lifecycle systems.

Develop backend software for Atlassian products, independently driving projects from technical design through launch. Responsibilities include applying architectural standards, coding primarily in Java, reviewing code, fixing complex bugs, writing documentation, and mentoring junior engineers. Candidates need experience with a prominent programming language, strong data structures knowledge, collaboration skills, and a willingness to learn.

Develop and launch large, complex software projects, making architectural decisions and addressing high-risk technical challenges. Lead code reviews, documentation, bug fixes, and company-wide engineering initiatives. Collaborate across teams, mentor junior engineers, and apply expertise in one or more programming languages while developing Java proficiency. The role emphasizes autonomy, customer impact, continuous learning, and technical leadership.

Lead complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

Build, deploy, and maintain production-grade AI-powered finance automations using enterprise tools such as Claude and NetSuite. Partner with FP&A, accounting, and Finance Systems to identify valuable automation opportunities, evaluate native AI capabilities, develop scripts and workflows, and support platform upgrades and implementations. Own initiatives from scoping and testing through delivery and ongoing maintenance while helping shape the finance systems AI roadmap.

Graduate Software Engineer contributing to front-end and back-end development for an enterprise sustainability intelligence SaaS platform. Responsibilities include building and testing product features, working with large-scale data, debugging, code reviews, technical discussions, and collaborating with developers, product managers, and stakeholders. The role offers mentorship and experience with modern development tools, AI-assisted coding, deployment, and platform improvement.

Build internal tools, dashboards, automations, alerts, and workflows for global fleet operations. Monitor hardware performance, investigate technical issues, manage support tickets, lead root-cause analysis, and coordinate resolutions across engineering, deployment, product, and customer teams. The role combines software development with operational support for IoT hardware deployed on farms, with occasional customer-site visits and rostered on-call responsibilities.

Build and scale AI-powered backend services, REST APIs, chatbots, voice assistants, and conversational workflows using Node.js, TypeScript, LLMs, and Generative AI. Integrate databases, third-party APIs, distributed systems, and cloud infrastructure while collaborating with frontend teams. Lead architecture, code reviews, technical design, and mentoring for scalable enterprise applications.

Design, develop, test, and maintain scalable software applications and systems. Write high-quality code, solve complex technical problems, collaborate with product and engineering teams, participate in code reviews and debugging, contribute to system architecture, and improve engineering processes. The role requires strong software fundamentals, production-scale experience, and familiarity with Databricks, distributed systems, and cloud infrastructure.

Build responsive frontend applications using TypeScript, reusable UI components, and shared design systems. Own features through design, development, testing, and deployment while using and guiding AI coding agents. Review AI-generated code for security, quality, performance, and maintainability; establish reliable agentic development workflows; collaborate with designers and backend teams; and support testing, integrations, documentation, and adoption of AI-assisted engineering practices.

Develop cloud-connected embedded and web systems for heavy machinery. Build embedded Linux software in C++ and modern web applications using Angular and TypeScript. Contribute to distributed-system architecture, automated testing, CI/CD, technical documentation, and full lifecycle software delivery while collaborating with global engineering teams.

Develop, test, maintain, and troubleshoot software for Gallagher’s global security platforms. Responsibilities include designing features, analyzing performance, participating in technical discussions, conducting code reviews, debugging issues, and collaborating with engineering, testing, product, and support teams in an agile environment.

Lead engineering for AccessNow, a cloud-based security product. Provide technical direction across architecture, design, delivery, risk, quality, and lifecycle management; ensure predictable delivery; coach and develop engineers; collaborate with Product, Architecture, UX/UI, Platform, DevOps, and Security teams; and champion automation, modern engineering practices, continuous improvement, and secure, scalable software development.

Own end-to-end development of customer-facing web application features, contribute to architecture, improve testing and deployment practices, conduct code reviews, and resolve production issues. The role requires full-stack adaptability, backend capability, systems thinking, technical ownership, and close collaboration with Product and Customer Experience teams in a small, office-based engineering team.

Build and maintain evaluation infrastructure for LLM-powered features, including datasets, ground-truth controls, automated pipelines, error analysis, labeling systems, and prompt optimization. Diagnose gaps between offline evaluations and production accuracy, scale tooling across AI products, and assess the impact of ontology and schema changes. The role requires strong Python, SQL, data science, LLM evaluation, and visual reasoning expertise, with collaboration across engineering, product, and AI teams.

Provides technical leadership for software engineering initiatives across supply and retail systems. Responsibilities include setting architecture and technical direction, mentoring engineers, reviewing code, managing technical debt, troubleshooting complex issues, improving engineering standards, supporting automation and testing, and contributing to technology roadmaps and platform modernisation. The role requires hands-on expertise with C#, .NET, Azure, event-driven architecture, Terraform, GitHub, CI/CD, and DevOps practices.

Develop and maintain Smartly’s SaaS payroll system across front-end and back-end technologies. Responsibilities include delivering features, clarifying requirements, managing releases, testing, code reviews, bug fixing, and ensuring secure, maintainable, high-performing software. The engineer will contribute to architecture and design, use automation and AI-assisted development, collaborate across the team, and mentor less experienced engineers.

Design, develop, test, and maintain software applications across Android, iOS, and Embedded Linux platforms. Own complex features throughout the software development lifecycle, contribute to architecture and technical standards, solve challenging engineering problems, and lead code and design reviews. Collaborate with product and project teams, improve development practices, ensure quality through automated testing and continuous integration, and mentor other engineers.

Build and support production-grade payroll software and integrations for APAC and ASEAN deployments. Partner with implementation, product, engineering, and customer teams across discovery, architecture, development, testing, troubleshooting, and rollout. Integrate payroll systems with APIs, enterprise data, and identity systems; improve AI-enabled deployment tools using field learnings; and train customer experience and solution consulting teams. Workday Payroll expertise, production engineering experience, cloud familiarity, communication skills, and customer-facing travel are required.

Build and deploy production-grade payroll software and integrations for APAC and ASEAN customers. Partner with implementation, product, engineering, and professional services teams through discovery, architecture, testing, and rollout. Integrate payroll systems with APIs, customer data, and identity systems; troubleshoot live issues; provide field feedback to improve products and AI tools; and train customer-facing teams on payroll deployment and troubleshooting.

Design, build, support, and improve secure enterprise applications and core platform solutions. Use AI-assisted engineering and agentic workflows to automate processes, create reusable AI assets, improve code quality, and accelerate delivery. Investigate incidents, perform root-cause analysis, embed DevSecOps and testing practices, and collaborate with stakeholders and vendors to deliver reliable technology outcomes.

Design, build, test, and support production-quality applications, APIs, services, integrations, and digital capabilities. Modernize technology platforms, apply secure engineering practices, and use AI-assisted tools across development, testing, documentation, deployment, and troubleshooting. Own solutions through production support, collaborate with cross-functional technology teams, identify practical AI opportunities, and share engineering knowledge across the development organization.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, reasoning quality, usefulness, and trustworthiness. Provide clear written feedback, distinguish response quality levels, and explain assessments through short videos. The role requires senior-level software engineering experience, strong TypeScript/JavaScript or Python skills, familiarity with AI-assisted development workflows, and the ability to make rigorous, opinionated judgments without reviewing every line of code.

Build and deploy customer-facing web features for Serko’s B4B corporate travel platform using React, Next.js, TypeScript, and C#. Develop accessible interfaces, BFF APIs, tests, monitoring, and infrastructure changes. Collaborate with Product, Design, and Engineering, lead small projects, participate in on-call support, and contribute to technical standards and team improvement.