Python Backend Engineer (m/f/d)

We are currently supporting an international SaaS organisation at the intersection of advanced software engineering, AI, and biopharmaceutical innovation in the search for a Senior Python Backend Engineer (m/f/d). This is a key strategic hire within a high-growth engineering team, where your work will directly shape the backend architecture powering complex scientific workflows and data-driven decision-making at scale.Your ResponsibilitiesDesign, build, and maintain scalable, secure, and high-performance backend services and APIs in PythonDevelop core backend application logic that powers a complex SaaS platformContribute to the integration of computational and modelling engines into production-grade systemsArchitect and implement robust interfaces between backend services, frontend applications, and computational componentsCollaborate closely with scientific, engineering, and infrastructure teams to support advanced data processing and modelling workflowsEnsure reliable orchestration and execution of computational jobs within distributed systemsTake ownership of backend architecture decisions with a strong focus on scalability, maintainability, and performanceImprove system reliability through strong engineering practices including testing, monitoring, logging, and observabilityWork within modern cloud-based CI/CD environments and contribute to continuous delivery improvementsMaintain clear and structured technical documentation for systems, APIs, and architectural decisionsYour Profile6+ years of professional experience in backend development with strong expertise in PythonProven experience designing and implementing scalable backend systems, APIs, and distributed servicesStrong hands-on experience with modern Python frameworks such as FastAPI or equivalentDeep understanding of software architecture, system design, and clean code principlesExperience with RESTful APIs, asynchronous processing, and service integration patternsStrong knowledge of relational or non-relational databases and data modelling conceptsFamiliarity with CI/CD pipelines, Git workflows, and automated testing strategiesExperience working with cloud platforms and containerised environmentsSolid understanding of security, reliability, and maintainability in production SaaS systemsNice to have: Docker, Kubernetes, AWS/Azure/GCP, Terraform, workflow orchestration, or experience in scientific or data-intensive environmentsBenefitsOpportunity to work on a technically challenging platform at the intersection of software engineering, AI, and life sciencesHigh level of ownership and influence over backend architecture and system design decisionsCollaborative environment with engineers, scientists, and domain expertsRemote-first setup with flexible working arrangementsWork on meaningful, real-world problems with direct impact on product and platform evolutionModern engineering culture with strong focus on quality, scalability, and long-term maintainabilityIf this sounds like the right next step in your backend engineering career, we look forward to receiving your application.