Senior Software Engineer - Full Stack

This is a high-autonomy, high-impact individual contributor role. You'll work across the full stack -building robust Python backend services, modern React frontends, and cloud-native infrastructure on Azure - 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., * Own the reliability and performance of core production systems - reducing toil, improving observability, and keeping things running well.

• Build and maintain scalable backend services and APIs in Python (Django or FastAPI).

• Build modern, responsive user interfaces using React (TypeScript).

• Diagnose and fix issues across the full stack, from application code to Azure cloud infrastructure.

• 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.

• Proven track record delivering and running production systems at pace, with strong operational instincts (incident management and observability).

• Deep hands-on experience with Microsoft Azure, including IaC, CI/CD, networking, and identity.

• Strong Python backend experience with Django or FastAPI.

• Strong frontend experience with React (TypeScript).

• 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.

Salary: £80,000 - £95,000

We're building a modern technology platform that applies data engineering and AI to a problem with real global consequence: proving trust and transparency in supply chains. Our work helps protect people from exploitation, gives brands and producers confidence in what they sell, and supports more sustainable choices for the planet.

From a tech perspective, this is greenfield - designing scalable, cloud-native systems and AI-driven products that turn complex data into evidence customers can stand behind. You'll be working on hard, meaningful problems, with real ownership, close collaboration with product and leadership, and the opportunity to shape both the technology and the impact it delivers as we scale.

We're a global team across London, Auckland, Singapore, and Washington D.C.