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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.
Job Responsibility
Inspire Excellence
Think in Systems
Collaborate with Purpose
Lead the AI Transformation
Represent FrankieOne Externally
Champion Our Mission and Culture
Requirements
Deep expertise in backend systems, cloud infrastructure, distributed architectures, and AI-powered product development
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
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
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
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
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