Principal Software Engineer

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

• Design and build enterprise-grade software solutions from concept through to production.

• Define architecture across cloud, backend, web, AI and mobile platforms.

• Develop production-quality software using AI-assisted engineering workflows.

• Build intelligent applications powered by Large Language Models (LLMs), AI agents and modern AI platforms.

• Design and develop native mobile applications (iOS and Android) and cross-platform solutions using Flutter or similar frameworks.

• Partner with clients and engineering teams to solve complex technical challenges.

• Mentor senior engineers and influence engineering standards through hands-on technical leadership.

• Evaluate and introduce emerging technologies that improve engineering capability and business outcomes.

• Continue coding, prototyping and experimenting with new technologies as part of your daily work.

Qualification Experience

• Bachelor's degree in Computer Science, Information Systems or related field preferred

• 20+ years of professional software engineering experience.

• Proven experience designing and delivering complex software systems at enterprise scale.

• Strong architecture capabilities with the ability to translate strategy into working software.

• Expert-level coding skills and a passion for remaining hands-on.

• Extensive experience building cloud-native applications using Azure, AWS and/or Google Cloud.

• Deep knowledge of modern software architecture, APIs, distributed systems, DevSecOps, CI/CD and secure software engineering.

• Experience developing native mobile applications using Swift and/or Kotlin.

• Experience with cross-platform mobile development using Flutter or comparable technologies.

• Strong consulting and stakeholder engagement skills.

• Experience working within Agile / SAFe / hybrid delivery models, aligned to strong governance and reporting expectations

• Proven ability to manage and balance technical quality, delivery pace, and operational stability

• Experience collaborating closely with:

• Product Owners and Business stakeholders

• Architecture, Security, and Platform teams

• UX / Experience Design and QA functions

• Strong exposure to DevSecOps, CI/CD pipelines, and production release governance

• 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:

• Cursor

• Claude Code

• GitHub Copilot

• OpenAI Codex

• Windsurf

• Gemini Code Assist

• Lovable

• new

• Firebase Studio

• Other emerging AI engineering platforms

You’ll also have practical experience building applications using

• OpenAI, Anthropic, Gemini or similar LLM platforms

• AI agents and agentic workflows

• Retrieval-Augmented Generation (RAG)

• Model Context Protocol (MCP)

• Function calling and tool integration

• Prompt engineering

• Vector databases

• AI application evaluation and governance

The Person We’re Looking is someone that

• Loves writing great software.

• Learns new technologies before they become mainstream.

• Is energised by solving difficult technical problems.

• Thinks strategically but delivers practically.

• Challenges conventional thinking with evidence and working solutions.

• Mentors others through collaboration rather than authority.

• Has a strong sense of ownership and accountability.

• Is excited about shaping the future of software engineering through AI.

Desirable Experience

• Multi-agent AI systems

• Edge AI

• On-device AI

• React Native or .NET MAUI

• Developer Experience (DevEx)

• Open-source contributions

• Conference speaking or technical writing

• Building engineering platforms and accelerators

Desired Skills

• Systems Analysis
• Complex Problem Solving
• Programming/configuration
• Critical Thinking
• Time Management