Senior/Staff Software Engineer (FE Leaning)

Auror · Remote · Auror Auckland Office

About Auror At Auror, we’re empowering the retail industry to tackle theft and Organised Retail Crime, a $150 Billion problem globally. It’s high volume crime that’s increasingly organised in nature and is putting people, retailers, and communities at risk every day. Founded in New Zealand 13 years ago, we’re working with some of the best and largest retailers in the world across the US, Canada, Australia, New Zealand, and the UK. Auror is connecting people and intelligence to reduce crime. We’re using technology for good. In partnership with our leading retail partners, we need people with the passion, determination, and innovation required to overcome one of the world's largest problems. If you’re looking to make a difference with and for the people dedicated to stopping crime, for good, then we want you on our team. We're also embracing the potential of AI to supercharge our impact—whether that's enhancing the way we detect trends, support our customers, or improve internal workflows. As a company, we're committed to responsibly incorporating AI into how we work and what we build, and we encourage all Aurors to be curious about how AI can elevate their work, regardless of role or function. The Role As a Senior / Staff Software Engineer, Frontend Leaning, in Risk Detection, you’ll be a senior individual contributor working on one of Auror’s most strategically important product areas. You’ll help shape the experiences that enable retailers to understand, investigate, and respond to crime in real time, including capabilities across Auror Subject Recognition (ASR) and our broader Risk Detection platform. This is a frontend-leaning role, but not a frontend-only role. You’ll spend much of your time working in React and TypeScript, shaping complex product experiences and frontend architecture, while being comfortable moving through APIs, services, data flows, and our .NET backend when solving an end-to-end problem requires it. Risk Detection presents some unusually interesting product and engineering challenges. Detections can originate from cameras and edge systems, flow through distributed cloud services, and need to become clear, timely, actionable experiences for users within seconds. The interfaces we build need to communicate complex information simply, perform reliably under real-world conditions, and support responsible decision-making in a sensitive domain. You’ll work closely with Product, Design, QE, and engineers across the stack to turn ambiguous problems into thoughtful, scalable product experiences. At Staff level, you’ll also influence technical direction across teams, establish patterns that improve how we build frontend software, and help other engineers solve complex problems without needing formal people-management responsibilities. Success in this role means shipping high-quality customer experiences, raising the technical bar across our frontend systems, making the engineers around you more effective, and helping Risk Detection evolve as Auror expands into new customers, regions, and detection capabilities. Location - For Senior level and above, we are also open to considering fully remote candidates within New Zealand. About Auror Engineering Collaboration is at the heart of the Engineering team at Auror. We believe that we can only build the very best software by working with each other and seeking different perspectives to solve problems. We’re a team that: - Ship code to production constantly: Our product team ships code to production on average at least 10-15 times a day prioritising small releases and short feedback cycles and we do this with a minimal defect rate. - Work on cloud native architecture: We focus on delivering business value to customers, without the burden of maintaining complex infrastructure - Work on innovative and up to date tech stacks: We are constantly evolving our technology stack inline with the needs of our business, leverag

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Senior/Staff Software Engineer (FE Leaning) at Auror — PreferHired