Senior Backend Developer (Python)
Expereo
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Expereo is seeking a Backend Developer to join the Supplier onboarding and Quote Management teams, focusing on the computational core of the platform. You will write Python and/or .NET daily, enhancing an existing Python/C# backend and building new services to solve real-world business problems.
The role intersects algorithmic implementation, API design, and engineering discipline, with growth into a technical execution track as the platform scales.
Qualifications
- Advanced Python — clean, tested, reusable code.
- API design and REST contracts with versioning and clear error handling.
- Software engineering discipline: testing, code review, Git, maintainable code.
- Ability to work in a mixed-language codebase (Python/C#).
Responsibilities
- Implement and maintain the quote engine logic, partner integrations, and internal services.
- Define contracts, versioning, and API documentation.
- Refactor code to production-ready standards and write unit/integration tests.
- Collaborate with Commercial teams and Platform engineers, participate in sprint reviews.
Skills
Tools
Job description
We are theIntelligent Internet Platform.We connectPeople, PlacesandThingsanywhere,managing Internet Performancebetter than anyone else while providingOne Global Experience,givingVisibility, ControlandSecuritythroughexpereoOne.
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.
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.
- 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.
- 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.
- 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.
- 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.
Must-Have
- Advanced Python — non-negotiable. Clean, tested, reusable code. Not just scripts that happen to work.
- API design and implementation. Designing and maintaining REST APIs with clear contracts, versioning, and proper error handling.
- Software engineering discipline. Testing, code review, Git, and the habits of someone who builds things that others can maintain.
- Ability to work in a mixed-language codebase. The existing platform is Python/C#. You need to be comfortable reading it and understanding the integration points.
Strong Plus
- C#: You will also work with the existing platform, you need to write quality, clean, testable code in C#.
- Familiarity with AWS services (Lambda, API Gateway, S3) or equivalent cloud infrastructure.
- Experience with API specification tooling (OpenAPI/Swagger, Pydantic, etc.).
- Exposure to Python packaging, dependency management, and CI pipelines.
- Familiarity with constraint-solving tools such as OR-Tools, PuLP, or equivalent in a real-world setting.
- Experience in a B2B SaaS, telecom, or logistics context where algorithmic correctness has real commercial stakes.
- Comfort with performance profiling and optimization in Python.
- Part of a team that is engaged and owning the things they do, highly trustable with direct commercial stakes.
- Direct access to production systems, real data, and decision-makers — no layers of process between your work and its impact.
- Exposure to cutting-edge technologies and large-scale global networks.
- A role designed with trajectory in mind — the knowledge you build here is directly applicable to a senior technical execution path.
- Competitive compensation
- Pension Plan
- Hybrid Working
- 25 Days Holidays
We are theIntelligent Internet Platform.We connectPeople, PlacesandThingsanywhere,managing Internet Performancebetter than anyone else while providingOne Global Experience,givingVisibility, ControlandSecuritythroughexpereoOne.
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.
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.
- 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.
- 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.
- 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.
- 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.
Must-Have
- Advanced Python — non-negotiable. Clean, tested, reusable code. Not just scripts that happen to work.
- API design and implementation. Designing and maintaining REST APIs with clear contracts, versioning, and proper error handling.
- Software engineering discipline. Testing, code review, Git, and the habits of someone who builds things that others can maintain.
- Ability to work in a mixed-language codebase. The existing platform is Python/C#. You need to be comfortable reading it and understanding the integration points.
Strong Plus
- C#: You will also work with the existing platform, you need to write quality, clean, testable code in C#.
- Familiarity with AWS services (Lambda, API Gateway, S3) or equivalent cloud infrastructure.
- Experience with API specification tooling (OpenAPI/Swagger, Pydantic, etc.).
- Exposure to Python packaging, dependency management, and CI pipelines.
- Familiarity with constraint-solving tools such as OR-Tools, PuLP, or equivalent in a real-world setting.
- Experience in a B2B SaaS, telecom, or logistics context where algorithmic correctness has real commercial stakes.
- Comfort with performance profiling and optimization in Python.
- Part of a team that is engaged and owning the things they do, highly trustable with direct commercial stakes.
- Direct access to production systems, real data, and decision-makers — no layers of process between your work and its impact.
- Exposure to cutting-edge technologies and large-scale global networks.
- A role designed with trajectory in mind — the knowledge you build here is directly applicable to a senior technical execution path.
- Competitive compensation
- Pension Plan
- Hybrid Working
- 25 Days Holidays
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
