Developer python Jobs in Freiburg Im Breisgau

What is Jedox?

At Jedox, we offer cutting-edge Enterprise Performance Management (EPM) platform and Solutions that enable businesses to plan, analyze, and optimize their financial and operational performance. Our B2B Platform as a Service Offering consists of various components, such as sophisticated data representation and data collection, a powerful planning engine, and data integration, developed by our specialized product teams.

To drive our Digital Business Partner vision, our AI team focuses on embedding AI across the Jedox platform. We are now looking for a Senior Full Stack Engineer with a strong interest in middleware and AI integration to help shape the next generation of enterprise planning solutions.

Your Responsibilities

As a Senior Full Stack Engineer, you will drive the design, implementation, and operation of Python-based backend services that bring AI and LLM capabilities into the Jedox platform.

As part of our #OneTeam, you’ll help shape architecture decisions, mentor peers, and support our Customer Success through reliable, high-quality platform services.

• Build AI-enabled backend services: Design, develop, and maintain Python-based backend services that integrate AI/LLM capabilities into the Jedox platform.
• Define AI integration abstractions: Implement robust abstractions for AI providers and request pipelines, including validation, routing, caching, throttling, and error handling.
• Ensure secure and resilient services: Make sure all backend services follow secure development practices, are resilient by design, and adhere to platform-wide operational standards.
• Design for multi-tenant deployments: Architect services for feature-flag-driven CI/CD deployments across single-tenant and multi-tenant environments, ensuring strict tenant isolation for data, configuration, and logs.
• Develop and maintain REST APIs: Build REST APIs used by multiple React-based frontend applications and internal SDKs, ensuring consistency and high performance.
• Implement end-to-end observability: Introduce and maintain metrics, structured logging, and distributed tracing across services to enable deep visibility into system and AI/LLM behavior.
• Design for multi-tenant deployments: Architect services for feature-flag-driven CI/CD deployments in single- and multi-tenant environments, ensuring strict tenant isolation for data, configuration, and logs.
• Own Kubernetes-based deployments: Maintain Kubernetes services, Helm charts, and deployment configurations, contributing to reliable and scalable cloud-native operations.

About us

At Jedox, we pride ourselves on our core corporate values, which drive our success as a team.

Our growth mindset encourages us to constantly learn, evolve and innovate, pushing ourselves to new heights. We work together as #OneTeam OneJedox, with a shared passion for achieving excellence in everything we do. We execute with precision and hold ourselves to the highest standards of excellence, ensuring that we deliver impactful results that exceed our customers' expectations. Our focus on people centricity ensures that our employees are at the heart of everything we do, enabling us to attract and retain top talent. We believe that effective communication and engagement are key to building strong relationships, both internally and with our customers, partners and stakeholders.

Your Profile

• 8+ years of experience in backend, full stack engineering and a solid understanding of secure coding practices and common security risks in backend systems.
• Proficient in Python and experience in building, operating, and maintaining production-grade Python backend services.
• Proven expertise to design clean, well-documented, high‑quality REST APIs with thoughtful and consistent versioning strategies.
• Experience with deploying and operating services in Kubernetes environments using Helm and modern cloud‑native tooling.
• Solid understanding with patterns for data isolation, configuration management, and operations in multi-tenant environments.
• Proficient working with modern CI/CD pipelines and automated deployment workflows..
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to diverse stakeholders.
• Passion for mentoring and driving technical innovation in AI/ML middleware solutions.

Transparency Note: Use of Artificial Intelligence

As a tech-driven company, Jedox uses modern technologies — including AI — to continuously improve our processes.
In recruiting, AI may support us in screening and structuring applications. It does not replace human judgment, but helps us reduce bias and ensure a consistent candidate experience. Your application is always reviewed by real people.

If you would like to learn more about the process, please visit the website of our partner Hi People. Here you will find information about the data protection guidelines as well as the most recent security checks. This gives you complete clarity on how your data is protected and processed. Of course, you can also contact us at any time if you have any questions.