Role Summary
We’re looking for a rare kind of engineer.
Someone with over 20 years of software engineering experience who is still writing code every day. Someone who embraces AI as an engineering partner, not just a productivity tool. Someone who can architect complex systems, build production software, mentor teams, and continuously redefine what’s possible with modern software development.
This is not a management role. This is a hands-on technical leadership role for an exceptional software engineer who leads through technical excellence, curiosity, and execution.
If you are passionate about AI-native engineering, modern development practices, mobile innovation, and solving complex business problems through software, we’d love to hear from you.
Responsibilities
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Design and build enterprise-grade software solutions from concept through to production.
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Define architecture across cloud, backend, web, AI and mobile platforms.
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Develop production-quality software using AI-assisted engineering workflows.
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Build intelligent applications powered by Large Language Models (LLMs), AI agents and modern AI platforms.
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Design and develop native mobile applications (iOS and Android) and cross-platform solutions using Flutter or similar frameworks.
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Partner with clients and engineering teams to solve complex technical challenges.
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Mentor senior engineers and influence engineering standards through hands-on technical leadership.
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Evaluate and introduce emerging technologies that improve engineering capability and business outcomes.
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Continue coding, prototyping and experimenting with new technologies as part of your daily work.
Qualification Experience
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Bachelor's degree in Computer Science, Information Systems or related field preferred
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20+ years of professional software engineering experience.
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Proven experience designing and delivering complex software systems at enterprise scale.
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Strong architecture capabilities with the ability to translate strategy into working software.
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Expert-level coding skills and a passion for remaining hands-on.
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Extensive experience building cloud-native applications using Azure, AWS and/or Google Cloud.
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Deep knowledge of modern software architecture, APIs, distributed systems, DevSecOps, CI/CD and secure software engineering.
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Experience developing native mobile applications using Swift and/or Kotlin.
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Experience with cross-platform mobile development using Flutter or comparable technologies.
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Strong consulting and stakeholder engagement skills.
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Experience working within Agile / SAFe / hybrid delivery models, aligned to strong governance and reporting expectations
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Proven ability to manage and balance technical quality, delivery pace, and operational stability
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Experience collaborating closely with:
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Product Owners and Business stakeholders
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Architecture, Security, and Platform teams
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UX / Experience Design and QA functions
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Strong exposure to DevSecOps, CI/CD pipelines, and production release governance
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Experience operating in multi-vendor or partner environments, with accountability for engineering outcomes.
AI-Native Engineering Experience
You should already be comfortable building software using modern AI development practices and be familiar with technologies such as:
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Cursor
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Claude Code
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GitHub Copilot
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OpenAI Codex
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Windsurf
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Gemini Code Assist
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Lovable
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new
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Firebase Studio
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Other emerging AI engineering platforms
You’ll also have practical experience building applications using:
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OpenAI, Anthropic, Gemini or similar LLM platforms
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AI agents and agentic workflows
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Retrieval-Augmented Generation (RAG)
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Model Context Protocol (MCP)
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Function calling and tool integration
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Prompt engineering
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Vector databases
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AI application evaluation and governance
The Person We’re Looking is someone that:
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Loves writing great software.
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Learns new technologies before they become mainstream.
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Is energised by solving difficult technical problems.
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Thinks strategically but delivers practically.
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Challenges conventional thinking with evidence and working solutions.
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Mentors others through collaboration rather than authority.
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Has a strong sense of ownership and accountability.
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Is excited about shaping the future of software engineering through AI.
Desirable Experience
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Multi-agent AI systems
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Edge AI
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On-device AI
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React Native or .NET MAUI
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Developer Experience (DevEx)
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Open-source contributions
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Conference speaking or technical writing
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Building engineering platforms and accelerators
Desired Skills:
- Systems Analysis
- Complex Problem Solving
- Programming/configuration
- Critical Thinking
- Time Management
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