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In this role you will design and deliver AI-enabled backend solutions for Pearson's digital English learning products. You will work with cross-functional teams to shape scalable architectures, deploy AI-enabled microservices, and mentor junior engineers. The role blends hands-on development with architecture leadership, documentation, and collaboration across a global, remote-friendly organisation. You will contribute to secure, compliant, and high-quality software while advancing AI integration in real-world learning experiences. This is a high-impact opportunity to help scale innovative language-learning technology.
Compensaciones / Incentivos
• Partner with product owners to design, implement, and maintain backend components for digital products
• Collaborate in cross-functional teams to define objectives, requirements, and timelines
• Lead projects and advocate for backend best practices, supporting strategic and innovation initiatives
• Architect scalable backend services and APIs, including AI integration and deployment of microservices
• Operationalize AI models with data science teams and ensure system reliability and scalability
• Maintain technical documentation and mentor junior engineers
• Champion continuous improvement, innovation, and knowledge sharing within the team




• Lead and influence the software development lifecycle, adhering to best practices like DevOps, Clean Code, and DDD
• Ensure security and compliance, working closely with relevant teams
• Stay updated on industry trends and recommend processes or technical improvements
Responsabilidades
• Proven experience in software engineering principles, development processes, technologies, extreme development methodologies and practices and industry trends for Development and QA
• Hands-on experience with Python
• Proficiency in at least one of the modern cloud environments (AWS, GCP, Azure)
• Proficiency in best practices for software engineering (code review, multi-stage testing, CI/CD)
• Experience with scalable development xghoner (Docker, Kubernetes)
• Strong problem-solving and analytical skills, with a keen attention to detail
• Some experience with data processing (building pipelines, data versioning)
• Working experience in Agile practices, product and project management principles
• Commitment to fostering an inclusive and diverse work environment
• Excellent communication skills, with the ability to effectively collaborate and build relationships with stakeholders at all levels
• Able to communicate technical concepts to non-technical individuals
• Experience with working in a diverse, remote, asynchronous team
• Proficiency in written and spoken English
Requisitos principales
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📌 Senior Software Engineer (Madrid)
🏢 Pearson
📍 Madrid