JOB   DETAILS

As a Lead Engineer, you will model the standard for engineering excellence at Xero. You will balance hands-on technical execution with strategic engineering leadership—guiding technical design, mentoring a high-performing team, and delivering multi-quarter product and platform goals.

This is a unique opportunity to lead a team through a significant AI transformation. You will lead the charge in harnessing agentic AI to optimize software development workflows while embedding intelligent, agentic features directly into our customer-facing products.

What You’ll Do

• Drive AI & Modernization Initiatives: Lead technical design and implementation, balancing legacy code modernization (C# / .NET, React) with cutting-edge agentic AI integration across internal workflows and customer features.
• Hands-on Technical Leadership: Guide system architecture, simplify complex technical designs, and write clean, scalable, maintainable code.
• Elevate Engineering Excellence: Identify technical blockers, champion modern quality and testing strategies, optimize CI/CD deployment pipelines, and maintain system resilience.
• Incident Management & Reliability: Recognise failure patterns, participate in the team on-call roster, lead incident responses, and facilitate post-mortems.
• Mentor & Lift Team Capability: Actively coach and mentor engineers, establishing a psychologically safe, inclusive, and high-performing culture focused on continuous learning.
• Cross-Functional Collaboration & Strategy: Build strong cross-functional relationships, break down operational silos, and influence technical roadmaps to achieve wider organizational goals.

What You’ll Bring

We value problem-solving ability, adaptable thinking, and hands-on capability over rigid formal checklists.

• Technical Expertise: Strong background in C# and .NET environments is preferred (or expertise in similar OO languages like Java with a language-agnostic mindset and quick adaptability).
• Distributed Architecture & Scale: Proven experience designing, building, and maintaining scalable distributed systems and cloud platforms (e.g., AWS).
• AI Enthusiast / Forward-Thinker: Genuine interest or hands-on experience in leveraging AI tools, LLMs, or agentic AI systems to transform engineering workflows and user experiences.
• Diverse Environmental Exposure: Experience navigating complex codebases, legacy modernization, or fast-paced technical environments (e.g., consulting, fintech, banking, SaaS, or regulated sectors).
• Pragmatic Leadership: A track record of coaching engineers, managing technical trade-offs, and resolving complex technical challenges with clear communication.
• Note: A formal Computer Science degree is not mandatory—we prioritize real-world experience, skills, and impact.

   

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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