Platform Engineer – Health Tech Startup in Madrid / AmsterdamYou will join Entera as the first Platform Engineer in a company that is fully built around artificial intelligence. This is an opportunity to create the technical foundation for a product where AI drives every part of the experience. You will design and run the infrastructure that supports our applications and model services, building a platform that is secure, scalable, and ready for growth. The work combines backend engineering, reliability, and DevOps in a small team with real impact. You will work closely with experienced AI consultants and the founders, who value clear design and simple user experience.About EnteraEntera is a health tech startup founded by Michelle Martens and Ellen Pekelharing. Both founders share a deep interest in health, nutrition, and medical innovation, and started Entera to make advanced diagnostics more accessible and understandable. Michelle brings experience as a data scientist and product manager, while Ellen has a background in health and nutrition. Together they saw how difficult it is for doctors and patients to make sense of complex laboratory data.Entera is building an AI platform that translates this complexity into clear and personal care reports. The system connects laboratories, doctors, and patients through a single environment. Laboratory data is automatically processed, interpreted, and converted into an actionable plan that can be shared with both doctor and patient. The reports are fully AI generated but always grounded in validated medical knowledge. This approach makes the process faster, more transparent, and easier to understand for everyone involved.Entera has already signed its first partnership with a major laboratory in the Netherlands and is currently raising its first funding round. The company operates between Amsterdam and Madrid and is now building its first internal engineering team.ResponsibilitiesDesign and create Kubernetes clusters in European cloud environments with secure networking and secret managementManage infrastructure as code using Terraform and continuous delivery pipelinesSet up monitoring, access control, and performance tracking for sensitive healthcare dataBuild observability with OpenTelemetry and define clear service level objectivesDevelop and maintain internal APIs and backend services in Python and FastAPIWork with AI Engineering to deploy model services safely and efficientlyAct as site reliability engineer for uptime, performance, and incident responseManage PostgreSQL databases and schema updatesEnsure full compliance with European security and privacy standardsRequirementsUniversity Degree in Computer Science or comparableAt least three years of professional software engineering experience with a platform focusProven ownership and responsibility for production systemsExperience with Docker, Kubernetes, and TerraformProficiency in Python for tooling and backend developmentExperience with continuous integration, observability, and incident managementFamiliarity with regulatory and security sensitive environmentsUnderstanding of the AI and machine learning lifecycle and how to support these workloadsNice to HaveExperience with European cloud providersKnowledge of secrets management and certificate handling in KubernetesOur StackPython, FastAPI, PostgreSQL, React, Docker, Kubernetes, Terraform, OpenTelemetry, Langfuse, EU based cloudWork SetupHybrid I Amsterdam or Madrid in a WeWork office.