Ready to code the future—while still getting your hands dirty in the present?

We’re hunting for a rare breed: a battle-tested Software Engineer with 20+ years of scars and wins, who still gets a genuine rush from writing elegant code… and who’s already deep in the AI-native trenches.

This isn’t a “strategy-only” architecture role. You’ll design and ship enterprise-grade systems across cloud, backend, web, mobile and AI—from first sketch all the way to production.

Role Overview:

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.

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.
  

Requirements

• Bachelor's degree in Computer Science, Information Systems or related field preferred  
  
• 20+ years of professional software engineering experience.
  
• Strong architecture capabilities
  
• 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
  
• Multi-agent AI systems
  
• Edge AI
  
• Experience developing native mobile applications using Swift and/or Kotlin
  
• On-device AI
  
• React Native or .NET MAUI
  
• Developer Experience (DevEx)
  
• Building engineering platforms and accelerators
  
• Cursor
  
• Claude Code
  
• GitHub Copilot
  
• OpenAI Codex
  
• Windsurf
  
• Gemini Code Assist
  
• Lovable
  
• Bolt.new
  
• Firebase Studio