The Role

We are seeking a Principal Engineer who operates at the highest level of the individual contributor track. This is a hands-on technical leadership role where you'll be equally comfortable diving deep into implementation details as you are shaping how we design, build, and scale software across the organisation.

You bring deep expertise in backend systems, cloud infrastructure, distributed architectures, and AI-powered product development. More importantly, you use that expertise to elevate engineering quality, influence technical direction, and drive better outcomes across teams.

Working alongside experienced engineering managers and technical leaders, you'll influence through technical credibility, sound judgement, and clear thinking—not organisational hierarchy. You'll help establish engineering standards, guide architectural decisions, and continuously raise the bar for how we build software at FrankieOne.

What Success Looks Like

Inspire Excellence

You take pride in engineering done well and bring that standard into every room you enter. You identify opportunities to improve practices, articulate them clearly, and help teams close the gap—not by mandating change, but by demonstrating what great looks like and bringing others along with you.

Think in Systems

You see beyond individual services and squads to understand the broader ecosystem. You drive architectural and technology decisions that scale across the organisation, balancing short-term delivery with long-term sustainability. Your decisions stand the test of time and enable future teams to move faster.

Collaborate with Purpose

You partner effectively with Engineering, Product, Design, Security, and QA leaders, contributing where your expertise creates the greatest impact. You communicate complex technical concepts clearly to both technical and non-technical audiences and help drive alignment without creating unnecessary process.

Lead the AI Transformation

You proactively identify opportunities where AI can transform both how we build products and what we build. You champion agentic delivery practices, accelerate AI adoption across engineering teams, and help embed AI capabilities as a core part of FrankieOne's platform and operating model.

Represent FrankieOne Externally

Whether speaking with customers, supporting enterprise sales conversations, participating in industry forums, or engaging with partners, you are a credible and trusted technical voice. You confidently articulate FrankieOne's architecture, engineering approach, and product vision.

Champion Our Mission and Culture

You are an advocate for the products we build, the customers we serve, and the culture we create. You lead by example, influence hiring decisions, mentor others, and help foster a high-performing engineering organisation.

Key Capabilities

Enterprise Technical Leadership & Architecture Influence

• Drive architectural strategy and technology direction across multiple teams.

• Make high-impact technical decisions that balance scalability, security, reliability, and delivery speed.

• Provide guidance on complex distributed systems, cloud-native architectures, and platform evolution.

Product & Business Alignment

• Connect technical decisions to customer outcomes and business objectives.

• Partner with Product and commercial stakeholders to ensure engineering investments create measurable value.

• Balance technical excellence with pragmatic execution.

Operational Excellence, Reliability & Security

• Champion engineering practices that improve reliability, observability, resilience, and security.

• Establish standards and patterns that enable teams to operate confidently at scale.

• Lead by example in incident management, risk reduction, and operational maturity.

Influence & Engineering Uplift

• Drive change through expertise, trust, and collaboration.

• Mentor engineers and technical leaders across the organisation.

• Elevate engineering standards through coaching, architecture reviews, and thought leadership.

AI-Native Engineering & Agentic Delivery

• Deep understanding of modern AI systems, LLM-powered applications, and agentic workflows.

• Lead adoption of AI-assisted and AI-driven development practices.

• Shape how AI capabilities are integrated into products, platforms, and engineering workflows.