Senior Python Backend Engineer (5710A8B)

Referment is working with a global digital communications compliance company serving financial services organizations. Its AI-powered platform captures and analyzes communications across email, chat, mobile, trade and video channels, helping compliance teams detect risk and maintain audit-ready records.

You will join the Surveillance Engineering group, which builds and operates advanced AI solutions with engineers, data scientists and subject matter experts. This is a hands-on role for someone who wants both depth and ownership: you will design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production.

The Role

• Design, build and maintain the software infrastructure behind the surveillance pipeline, combining classic machine learning and GenAI models with complex business logic and analytical components.
• Own significant architecture decisions and evaluate and select the technologies the team builds on.
• Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
• Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready services that are fully integrated and scalable.
• Support the product in production: investigate issues, improve observability and make the system easier to run.
• Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
• Hold a high engineering bar: meaningful unit tests and solid CI/CD following best practices.

What We're Looking For

• Strong Python backend engineering experience, ideally with machine learning or data-heavy systems.
• Experience with containerized environments (Docker, Kubernetes) and AWS.
• Familiarity with machine learning or GenAI pipelines.
• A production-first mindset covering observability, testing and CI/CD.

This could suit a senior Python engineer from a data, ML or surveillance platform background who wants architecture ownership close to the product.

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