Role Description We're looking for our next Senior Engineer to be based in Napier or work remotely from another city in New Zealand. As a Senior Software Engineer, you will play a key role in the agile Engineering Team; designing, developing, modifying, documenting, unit testing and deploying complex software to the highest level of quality whilst mentoring more junior members of the squad. What you'll be owning: - Write and maintain code according to system requirements and technical specifications ensuring it meets quality standards - Diagnose and correct complex production issues - Direct system testing and validation procedures - Identify technology limitations in current application and code, proposing and implementing alternative solutions - Mentorship here isn't an afterthought. You'll shape more junior engineers through hands-on code review and knowledge-sharing sessions - Design, implement and maintain top quality solutions for new features Qualifications - 5+ years software engineering experience - Proficiency in C#, ASP.NET MVC, .NET Core and SQL Server - Experienced in Vue.js, React or similar JavaScript frameworks - Skills to build great web applications with HTML, CSS, and modern JavaScript - Experience developing solutions for the Cloud/SaaS technical web environments - particularly, experience working with the Microsoft Azure platform - An ability to write beautiful code that runs quickly and robustly - and initiative to debug, fix and improve existing code - A flair for developing excellent user interface and experience - An owner's mindset: you take initiative, move at pace, and stay curious about the customer and the product, not just the code Requirements - We're a Microsoft Azure shop, and AI is woven through how we work — not bolted on. - Agentic coding is our default: you'll ship features with AI in the loop while keeping engineering quality high, coach the team on getting the best from it, and help improve the prompts and patterns that make it reliable. - Our squads manage their own DevOps practices using Terraform to manage IaC and Azure DevOps for code deployments. Experience with any of these technologies or areas is a bonus so make sure to call this out in your application. Benefits - Comprehensive health insurance, access to a premium EAP service and an annual wellness allowance to spend on what helps you feel good - whether that’s towards a gym membership, new running shoes, or mindfulness apps. - Generous paid parental leave and flexible, family-friendly support designed to help growing families balance work and life with confidence. - We celebrate time, commitment, and contribution with milestone rewards and additional leave as you grow your career with us. - With customers and teammates across New Zealand, Australia, the United Kingdom, and North America, we work in a hybrid, remote-friendly way with collaborative offices and the flexibility of a balanced approach to WFH/i-office work. Company Description Join us and help shape the future of real estate at one of the most exciting SaaS companies born from New Zealand.

Role Description You will design and build the foundational development & infrastructure powering our agentic security platform — secure multi-tenant systems, distributed services, scalable execution layers, and the internal platform capabilities that allow our AI agents to operate reliably in production environments. You’ll work closely with founders, product, AI, and security engineering teams to build systems that are secure, observable, resilient, and scalable from day one. This role is ideal for engineers who think deeply about distributed systems, platform architecture, reliability, infrastructure, and backend scalability. In your first few months, you will: - Own end-to-end design and delivery of platform capabilities - Build and scale distributed backend services powering AI agents and customer workflows - Improve authentication, authorization, and tenant isolation across the platform - Design infrastructure and observability systems for reliability at scale - Deploy and operate production-grade systems with strong ownership beyond launch - Collaborate cross-functionally with engineering, product, customer-facing teams, and leadership to shape platform architecture and engineering standards Qualifications - 6+ years of strong backend or platform engineering experience - Strong understanding of distributed systems fundamentals - Experience designing and operating microservices at scale - Experience with authentication and authorization systems (OAuth, RBAC, JWT, SSO, IAM, etc.) - Strong knowledge of cloud infrastructure (AWS/GCP/Azure), containers, and CI/CD systems - Experience with observability tooling, monitoring systems, logging, tracing, and production debugging - Familiarity with asynchronous systems, queues, event streams, and workflow orchestration - Strong coding experience in Python, Go, Java, or Node.js - Ownership mindset — ability to take systems from concept → production → scale Requirements - Experience working on platform engineering or internal developer platforms - Experience with Kubernetes, Kafka, OpenTelemetry, Prometheus, Grafana, or similar tooling - Experience building multi-tenant SaaS platforms Benefits - Work with pioneering agentic AI security—impact global security teams. - Shape infrastructure for privacy-first technology in a high-growth startup. - Enjoy a dynamic remote-first work culture with opportunities for ownership and advancement.

Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. We are seeking strong Software Engineers to join our customer's team with expertise in: - Python3 - Java - Rust - Go - C++ - TypeScript This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting. Qualifications - Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset. - Deep understanding of algorithms, data structures, and performance tuning. - Demonstrated experience in debugging complex software issues and delivering maintainable solutions. - Strong background in feature development and codebase refactoring. - Proven ability to optimize software for performance and scalability. - Exceptional written and verbal communication skills, with a keen attention to detail. - Track record of success in collaborative, cross-functional teams, ideally in remote settings. Requirements - Previous experience working on large-scale, distributed codebases. - Familiarity with modern AI or machine learning systems is a plus, though not required. - Background in participating in rigorous code reviews and contributing to the development of software best practices.

Role Description We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems. A Cybersecurity/SecOps background or exposure is highly preferred. - Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. - Review, debug, improve, and explain code across different technical environments. - Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. - Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. - Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. - Collaborate with the customer's team on technical reviews, implementation decisions, and problem-solving exercises. - Adapt quickly to new codebases, frameworks, and technical requirements. Qualifications - 3+ years of hands-on software engineering experience. - Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go or Rust. - Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. - Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. - Ability to explain complex engineering decisions clearly and objectively. - Comfortable reading and reasoning through unfamiliar code or technical requirements. Preferred Qualifications - Experience with cloud environments such as AWS, GCP, or Azure. - Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations. - Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. - Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work. - Experience mentoring engineers, reviewing code, or making architecture decisions.