Oritain

Verifies product and raw material origin

Experienced Product Engineer - Full Stack

Full-Stack EngineeringUpdated on Nov 13

Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

Typically five or more years of professional software engineering experience, with a strong track record of delivering production systems.
Backend proficiency in Python with FastAPI.
Strong frontend experience with React and TypeScript, including component architecture, state management, and modern tooling.
A solid understanding of relational databases, including schema design, query optimisation, and migrations; PostgreSQL is preferred.
Experience with cloud platforms, ideally Microsoft Azure.
Familiarity with containerisation using Docker and CI/CD practices.
A pragmatic, product-minded approach to engineering.
Strong communication skills to work effectively in a collaborative, cross-functional team.
Strong commercial experience with React and TypeScript.
Basic experience with Python and willingness to learn.

Responsibilities

Design, build, and maintain scalable backend services and RESTful APIs using Python with FastAPI, writing clean, well-tested, production-grade code focused on reliability and performance.
Design and implement data models using PostgreSQL and cloud-native data services.
Build and maintain CI/CD pipelines with automated testing, linting, and deployment.
Build modern, responsive user interfaces using React with TypeScript, translating requirements and wireframes into functional, accessible UI components in collaboration with Product and Design.
Ensure frontend performance, accessibility, and cross-browser compatibility.
Contribute to infrastructure decisions and service architecture within the Azure environment.
Support observability, monitoring, and alerting for production services, and participate in incident response and root cause analysis.
Take end-to-end ownership of features from technical design through delivery and iteration.
Participate in code reviews and architectural discussions, and mentor and support junior and mid-level engineers.
Partner with Data and Science teams to understand how application services integrate with the broader data platform.

Desired Qualifications

Experience with data engineering concepts such as ETL/ELT pipelines or data platforms such as Databricks and Azure Data Factory.
Familiarity with event-driven architectures or message queues.
Experience with scientific, geospatial, or time-series data.
Exposure to infrastructure as code using Terraform.
Comfort with AI-assisted development tools and an interest in integrating AI capabilities into products.

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 specialised 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.

About the Role

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.

Why join now

We're entering the next phase of our platform evolution, investing heavily in new customer products, AI-enabled capabilities and global scale. This is an opportunity to influence architecture, product direction and engineering culture where individual contributions have visible impact.

On the backend, you will design, build and maintain scalable services and RESTful APIs using Python with 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 TypeScript, 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 FastAPI, strong frontend experience with React and TypeScript 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, experience with scientific, geospatial or time-series data, or exposure to infrastructure as code using Terraform. Comfort with AI-assisted development tools and an interest in integrating AI capabilities into products would also be welcome.

Tech stack:

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

About the Company

Oritain

Verifies product and raw material origin

Oritain verifies the origin of products and raw materials using forensic science and data science. Its services test items across supply chains to confirm where they come from and build a growing database of origin signatures. The company works with industries such as cotton and fashion, red meat, fish, and honey to combat mislabeling and fraud, helping brands meet Environmental, Social, and Governance (ESG) goals and protect reputations. The process involves scientifically analyzing materials and linking results to a verified origin, allowing brands to prove field-to-factory-to-store provenance. Unlike others that focus only on testing, Oritain combines origin verification with a lasting data-backed proof system to reduce risk and maintain trust. The goal is to help businesses prevent fraud, ensure authenticity, and uphold brand integrity by providing reliable proof of origin.

Company size: 51-200
Company stage: Series C
Total funding: $115M
Headquarters: Dunedin, New Zealand
Founded: 2008

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