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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Fullstack Engineer and Developer - **Company:** The Whiteam - **Location:** Bilbao, Spain (Remote available) - **Salary:** €62,400.0 - €70,200.0 - **Contract:** Permanent contract - **Skills:** Kubernetes Security, Multitier Architecture, User Authentication, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Infrastructure, DevOps, Distributed Systems, Design of User Interfaces, Python (Programming Language), Log Analysis, OAuth, OpenID, Performance Tuning, Software Architecture, Role-Based Access Control, Release Management, Software Tools, Azure Active Directory, Azure Data Lake, Message Oriented Middleware, Scala (Programming Language), Strategies of Testing, Software Vulnerability Management, Web Applications, YAML, Cloud Platform System, Cloud Monitoring, Software Security, Kubernetes Helm Charts, Vue.js, Event Driven Architecture, Build Management, Containerization, AngularJS, Kubernetes, Infrastructure Automation Frameworks, Azure AKS, Data Management, Front End Software Development, Api Design, Restful APIs, Terraform, Api Management, Serverless Computing, Key Vault, Programming Languages, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.jobleads.com/es/job/e39e1783a4890772dcab6ddab9fa970c9 ## About the Role * Strong full-stack development knowledge using modern frameworks such as React, Angular, or Vue for building responsive and accessible user interfaces. * Solid backend engineering experience, including RESTful and event-driven microservices architecture. * Deep understanding of API security, authentication, and authorization (OAuth2, OIDC, Microsoft Entra ID, RBAC, managed identities). * Experience with asynchronous messaging systems and distributed system design. * Proficiency in cloud engineering, particularly Microsoft Azure services and architecture. * Knowledge of Kubernetes and containerization, including deployment, scaling, and monitoring. * Hands-on experience with DevOps practices, CI/CD pipelines, infrastructure as code, and automation. * Familiarity with data platforms, Lakehouse architectures, and programming languages like Python and Scala. * Strong understanding of software architecture principles, testing strategies, and performance optimization. * Excellent communication, collaboration, and problem-solving skills. ## Description * Design and build end-to-end web applications, covering frontend, backend, and cloud infrastructure. * Develop and maintain secure, scalable APIs and microservices. * Implement robust authentication and authorization mechanisms for enterprise-grade applications. * Build responsive and accessible user interfaces with high performance and usability. * Deploy, monitor, and maintain applications in cloud environments, ensuring uptime and reliability. * Create and manage CI/CD pipelines to automate testing, integration, and delivery. * Collaborate with cross-functional teams, including product, design, and infrastructure teams. * Ensure compliance with security, governance, and cost-control best practices in cloud environments. * Maintain documentation and contribute to platform improvements and automation. * Continuously optimize performance, scalability, and maintainability of applications., * Advanced Azure expertise, including: AKS (Azure Kubernetes Service), App Services, Container Apps, and Azure Functions, API Management, Service Bus, and Key Vault, Azure Monitor, Log Analytics, and ADLS Gen2. * Kubernetes specialization, including: Helm charts, GitOps workflows, workload scaling, and monitoring, Container security, vulnerability management, and Azure Container Registry. * Strong DevOps and automation experience: Azure DevOps with multi-stage YAML pipelines. o Terraform Cloud for infrastructure as code and policy enforcement. o Branch governance, release management, and platform automation. * Architectural expertise: Microservices, event-driven systems, and clean architecture principles, API design, integration patterns, and distributed systems. * Data platform experience: lakehouse ecosystems and data engineering tools, programming in Python and Scala. * Emerging technologies: exposure to agentic AI solutions and intelligent automation. ## Related Videos - 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