Full Stack Engineer

As part of our Engineering Hub in Madrid, the Full Stack Engineer will take ownership of exciting projects that touch both frontend and backend technologies. In this role, you’ll design, build, and deploy high-performance applications that power streaming platforms used around the world. In this specific case, the role will be key in building new features for our 24i core technology: the orchestrator of our 24i Video Cloud system. You’ll collaborate with talented colleagues across disciplines—from product managers and designers to DevOps engineers—in an E2E team to deliver elegant, scalable solutions. If you’re a versatile developer who thrives in a dynamic, creative environment, we’d love to meet you. Key Responsibilities: Lead the design, development, and deployment of full stack projects that integrate frontend and backend components seamlessly. Build responsive, user-friendly web interfaces using React and Bootstrap CSS. Develop and maintain robust backend systems and APIs using PHP, TypeScript, and Python. Use AWS CDK and Infrastructure as Code to create scalable, efficient environments. Manage CI/CD pipelines with GitHub workflows for smooth delivery cycles. Write automated tests to ensure reliability and maintain high code quality. Collaborate closely with all the stakeholders in cross-functional teams. Debug, document, and maintain both frontend components and APIs. Integrate third-party APIs and work with RESTful and WebHook applications. Continuously optimize system performance and propose improvements. Key Qualifications: Proven full stack experience with PHP, TypeScript, and Python. Strong skills in React and Bootstrap CSS for building dynamic, responsive frontends. Expertise in AWS services (EC2, Lambda, S3, RDS, etc.) and Infrastructure as Code (AWS CDK). Hands-on experience with GitHub workflows and CI/CD pipelines. Strong understanding of RESTful APIs, microservices, and modern architectural patterns. Familiarity with Docker, Kubernetes, and both SQL (PostgreSQL/MySQL) and NoSQL databases. Desirable Skills: Experience in AI usage f or development. Experience with ActiveMQ, Kafka, or RabbitMQ. Knowledge of OAuth2, SAML, LDAP authentication systems. Familiarity with streaming technologies (HLS, MPEG-DASH). Previous mentoring or technical leadership experience. Personal Attributes: Strong customer-oriented mindset , with the ability to translate data into business value. Excellent communication skills , capable of engaging both technical and non-technical stakeholders. Proactive and ownership-driven Analytical thinker with a problem-solving mindset . Comfortable working in cross-functional and collaborative environments . Curious and continuously seeking to improve systems, processes, and insights .