Experienced Product Engineer - Full Stack

Oritain is a global leader in the forensic origin verification of products and raw materials. With offices in London, Paris, Auckland, Dunedin, Singapore and Washington

D.C, our vision is to be the source of truth in global supply chains.

Through our proprietary methodology, our mission is to harness cutting edge science, data, and specialized services to create a community of origin verified buyers and suppliers, protecting our people and planet. We empower the world’s leading brands to make positive changes across their supply chain; ensuring product integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world.

The Experienced Product Engineer plays a key role in designing and building new customer-facing applications and APIs that sit at the heart of our product offering. You will work across the full stack, with a focus on building robust backend services and modern, responsive front-end experiences, all within a cloud-native environment on Microsoft Azure.

Reporting to the Engineering Lead, you will take real ownership of what you build, working closely with Product, Design, Data and Science teams to deliver features end-to-end. This is a role for an engineer who cares as much about what they are building as how they are building it, and who wants their work to contribute to something that genuinely matters.

For a software engineer who wants to work on technically interesting problems with real-world impact, in a collaborative team where craft and ownership are valued, this is a great opportunity.

Tech stack:
React/Typescript frontend (strong commercial experience required)
Python backend (basic experience and willingness to learn required)

On the backend, you will design, build and maintain scalable services and RESTful/GraphQL APIs using Python with Django or FastAPI, writing clean, well-tested, production-grade code with a focus on reliability and performance. You will design and implement data models working with PostgreSQL and cloud-native data services, and build and maintain CI/CD pipelines with automated testing, linting and deployment as standard.

On the frontend, you will build modern, responsive user interfaces using React with Type Script, collaborating closely with Product and Design to translate requirements and wireframes into functional, accessible UI components. You will ensure frontend performance, accessibility and cross-browser compatibility throughout.

Across the platform, you will contribute to infrastructure decisions and service architecture within our Azure environment, support observability, monitoring and alerting for production services, and participate in incident response and root cause analysis when issues arise.

You will take end-to-end ownership of features from technical design through to delivery and iteration, participate actively in code reviews and architectural discussions, mentor and support junior and mid-level engineers, and partner with our Data and Science teams to understand how application services integrate with the broader data platform.

You bring significant professional experience, typically five or more years, in software engineering with a strong track record of delivering production systems. You have backend proficiency in Python with Django or FastAPI, strong frontend experience with React and Type Script including component architecture, state management and modern tooling, and a solid understanding of relational databases, PostgreSQL preferred, covering schema design, query optimisation and migrations.

You have experience with cloud platforms, ideally Microsoft Azure, and familiarity with containerisation using Docker and CI/CD practices. You bring a pragmatic, product-minded approach to engineering and strong communication skills that allow you to work effectively in a collaborative, cross-functional team.

Experience with data engineering concepts such as ETL/ELT pipelines or data platforms like Databricks and Azure Data Factory would be an advantage, as would familiarity with event-driven architectures or message queues,…