Platform Engineer

Talcom; Sevilla; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A health tech startup is seeking a Platform Engineer to build and maintain the infrastructure for their AI-driven product. The role involves working with Kubernetes, Terraform, and Python to ensure a secure and scalable platform. Candidates should have a university degree in computer science and at least three years of relevant experience. The position offers a hybrid work setup in Madrid or Amsterdam, making it ideal for tech enthusiasts looking to make an impact.

Formación

• 3+ years of software engineering experience with a platform focus.
• Proven ownership of production systems.
• Experience with Docker and Kubernetes.

Responsabilidades

• Design and create Kubernetes clusters in cloud environments.
• Manage infrastructure as code using Terraform.
• Set up monitoring for sensitive healthcare data.

Conocimientos

Kubernetes

Terraform

Python

Docker

Observability

Incident management

AI/ML lifecycle support

Educación

University Degree in Computer Science or comparable

Herramientas

PostgreSQL

FastAPI

OpenTelemetry

Descripción del empleo

Platform Engineer – Health Tech Startup in Madrid / Amsterdam

You 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 Entera

Entera 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.

Responsibilities

• Design and create Kubernetes clusters in European cloud environments with secure networking and secret management
• Manage infrastructure as code using Terraform and continuous delivery pipelines
• Set up monitoring, access control, and performance tracking for sensitive healthcare data
• Build observability with OpenTelemetry and define clear service level objectives
• Develop and maintain internal APIs and backend services in Python and FastAPI
• Work with AI Engineering to deploy model services safely and efficiently
• Act as site reliability engineer for uptime, performance, and incident response
• Manage PostgreSQL databases and schema updates
• Ensure full compliance with European security and privacy standards

Requirements

• University Degree in Computer Science or comparable
• At least three years of professional software engineering experience with a platform focus
• Proven ownership and responsibility for production systems
• Experience with Docker, Kubernetes, and Terraform
• Proficiency in Python for tooling and backend development
• Experience with continuous integration, observability, and incident management
• Familiarity with regulatory and security sensitive environments
• Understanding of the AI and machine learning lifecycle and how to support these workloads

Nice to Have

• Experience with European cloud providers
• Knowledge of secrets management and certificate handling in Kubernetes

Our Stack

Python, FastAPI, PostgreSQL, React, Docker, Kubernetes, Terraform, OpenTelemetry, Langfuse, EU based cloud

Work Setup

Hybrid in Amsterdam or Madrid in a WeWork office.