Senior Backend Developer (Python)

We are the Intelligent Internet Platform. We connect People, Places and Things anywhere, managing Internet Performance better than anyone else while providing One Global Experience, giving Visibility, Control and Security through expereoOne.

Expereo believes in the power of Internet connectivity. As the world's largest provider of managed internet, SD-WAN/SASE, and Cloud connectivity solutions, we power enterprises and government sites worldwide, helping to enhance every business' productivity with flexible and optimal Internet performance.

As a trusted partner of Fortune 500 enterprises, our continued aim and success in helping our customers and partners depends solely on the talented individuals who make Expereo a dynamic, effective, multicultural, and equitable environment.

About the role

We are looking for a Backend Developer to join the Supplier onboarding and Quote Management teams and work directly on the computational core of our platform.

You will write Python and/or dotnet every day. You will work on an existing Python/C# backend and create new services. You will work on solving real-world business problems, like creating a constraint optimization engine, working on integrations with our partners and creating and maintaining internal tools.

The core of the role sits at the intersection of three things:

• Algorithmic implementation — translating complex commercial requirements into deterministic, auditable logic. You will implement and maintain the optimization engine that drives our quote generation.
• API design and contract maintenance — defining clear contracts between services, and ensuring the interface is clean, versioned, and reliable for downstream consumers.
• Code quality and engineering discipline — making code production-ready and scalable: writing tests, applying engineering standards, and ensuring the codebase can grow with the platform.

You will work directly with the innovation and commercial teams.

This role is also designed with growth in mind. The knowledge and context you build here — deep familiarity with the platform, the commercial logic, and the constraints of the business — make this a natural stepping stone toward a technical execution role, potentially supporting a commercial STO (single thread owner) function as the platform scales.

Key Responsibilities

Business Logic Implementation

• Implement and maintain business logic for the quote engine, partner integrations and internal services: supplier selection, service bundling, routing rules, product validation …
• Explore, document and integrate heterogeneous external data sources necessary to the execution of business logic.
• Ensure all outputs are auditable, and explainable to commercial stakeholders — we don’t build black boxes.
• Validate model outputs against historical data; measure and report on prediction reliability.
• Optimize the operational value of the integrations with our partners.

API Design & Contract Maintenance

• Define contracts, manage versioning, and ensure downstream consumers are never broken silently.
• Write clear, well-documented API interfaces with explicit input/output contracts and error handling.
• Coordinate with the Platform engineer on service integration and ensure clean separation of concerns between components.
• Maintain API documentation as a living artifact, not an afterthought.

Code Quality & Engineering Practices

• Refactor and clean up existing Python/C# code: reduce complexity, increase testability, and bring the codebase up to production engineering standards.
• Write unit and integration tests that provide real confidence — not just coverage numbers.
• Apply Git, code review, and CI practices to all work. Code lives in a repository, goes through review, and is reproducible without intervention.
• Document non-obvious logic thoroughly so knowledge is transferable.

Collaboration & Communication

• Partner with the Commercial teams, Quote Engine lead Platform engineer — this is collaborative work, not ticket execution.
• Participate in sprint reviews, propose approaches, and flag risks early.