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Posted 13 July, 2026

Senior Software Engineer - Android

Jobtailor
Wellington, WGN, NZ Full Time
Reference: 8c64935c2667b5c3

Job Description

\n Responsibilities\n
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  • Design, build and maintain mobile applications that deliver meaningful customer experiences in a fast-paced environment with evolving requirements and tight delivery timelines.
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  • Collaborate with architecture and wider Payments team to align on and implement architectural changes while continuing to deliver new customer features.
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  • Contribute to technical design and architecture decisions while supporting others in the team.
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  • Work closely with product, platform and engineering partners to deliver end to end solutions.
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  • Share knowledge, support others and help grow team capability.
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  • Contribute to engineering practices across performance, security and reliability.
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  • Identify opportunities to improve systems, processes and delivery approaches.
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Requirements\n
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  • 7+ years of experience in mobile application development, with strong expertise in Android using Kotlin and modern frameworks such as Jetpack Compose.
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  • Strong collaboration skill, with working across teams to align on shared goals, dependences and technical direction.
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  • Experience working in complex environment where multiple initiatives are delivered in parallel.
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  • Proven experience working within collaborative teams to build scalable and complex systems, with a strong understanding of mobile architecture and design principles.
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  • Solid capability across testing, debugging and quality engineering practices, with exposure to mobile automation frameworks and testing tools.
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  • Experience with DevOps practices and tools such as Fastlane, Gradle or Jenkins, with exposure to cloud based CI CD platforms.
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  • Understanding of Material Design guidelines and accessibility principles, with a focus on creating inclusive and user friendly experiences.
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  • Able to balance ideal engineering outcomes with delivery constraints and business outcomes.
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  • Integrates AI effectively into engineering workflows to improve quality and efficiency, demonstrates strong judgement on appropriate use, and coaches others on responsible AI practices.
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