Frontend Engineer – Full Stack

The Role

This is a high-autonomy, high-impact individual contributor role. You'll work across the full stack - building robust modern React frontends, and Python backend services - while maintaining and modernising the core platform at the heart of our product. You'll also be a hands-on practitioner of AI-assisted development, using Claude Code, Cursor, and agentic workflows daily as a genuine productivity multiplier.

Key Responsibilities

• Own the reliability and performance of core production systems — reducing toil, improving observability, and keeping things running well.
• Build modern, responsive user interfaces using React (TypeScript).
• Build and maintain scalable backend services and APIs in Python (Django or FastAPI).
• Diagnose and fix issues across the full stack.
• Lead incremental upgrades, refactors, and migrations that reduce risk and unlock new platform capabilities.
• Use AI-assisted development tools (Claude Code, Cursor, or equivalent) daily and help others do the same.
• Build agentic workflows that amplify the wider engineering team’s productivity.
• Collaborate across time zones with peers in Auckland and London on incidents, releases, and architecture.
• Mentor junior and mid-level engineers through technical challenges.

Skills & Experience

Essential

• Proven track record delivering and running production systems at pace, with strong operational instincts (incident management and observability).
• Strong frontend experience with React (TypeScript).
• Python backend experience with Django or FastAPI.
• Solid SQL and database skills — schema design, query optimisation, migrations.
• Active daily use of AI-assisted development tools; you have opinions on how to use them well and can teach others.
• Experience working effectively across distributed teams and time zones.
• A bias toward simplicity, clear communication, and working in the open.

Desirable

• Familiarity with LLMs or agentic systems in production.
• Experience with event-driven architectures (Kafka, Azure Service Bus).
• Data engineering concepts: ETL/ELT pipelines, Databricks, or Azure Data Factory.
• Background in regulated or data-sensitive environments.

The Recruitment Process

We like to keep our recruitment process smooth and efficient, giving you the opportunity to showcase your skillset in a comfortable environment. The process for this position is a 2-stage interview and short take home task.

Company Benefits

• Paid Leave - 35 days (inclusive of public holidays) + your birthday off
• Volunteering Leave Allowance
• Enhanced Parental Leave
• Life Insurance
• Healthcare Cash Plan
• Employee Assistance Programme (EAP)
• Pension
• Monthly Wellbeing Allowance
• Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office
• Learning Portal with over 100,000 assets available to support professional development

About [Employer hidden]

[Employer hidden — sign up to reveal] is a global leader in forensic origin verification. Using cutting edge science, advanced technology, and specialized services, we independently verify where products and raw materials come from – protecting brand integrity, supporting compliance, and strengthening supply chain trust and transparency. Our method is highly resistant to tampering, court-admissible, and trusted by suppliers and manufacturers, brands and retailers, consumers, and regulators. Driven by purpose, we are committed to advancing the scientific techniques and systems needed to identify the origin of the world’s most critical commodities – enabling more ethical, resilient, and accountable supply chains.

Founded in 2008