Senior Tech Lead – AI / Data Platforms
hace 19 horas
Barcelona
🔹 Senior Tech Lead / Lead Engineer – AI & Data Platforms 🔹 📌 About the role We are looking for a Senior Tech Lead / Lead Engineer to join an international AI & Data engineering environment. In this role, you will act as a hands-on technical authority, helping define the architecture, technical strategy, and engineering direction for reusable AI / ML platform capabilities across the group. You will work closely with engineering leads, software engineers, data teams, cloud platform teams, and business stakeholders to design scalable, secure, and reusable technical solutions that can be adopted across multiple operating companies. This is not a people management role, but a senior technical leadership position. You will guide squads from a technical perspective, support architectural decision-making, prioritise technical initiatives, assess risks, and ensure that engineering teams build robust, enterprise-grade solutions. The role is ideal for someone with a strong software engineering background, solid architecture and system design experience, and hands-on exposure to Python, cloud platforms, CI/CD, data platforms, or AI-focused environments. 💻 What you’ll do 🔹 Provide hands-on technical leadership across multiple engineering squads 🔹 Define and guide architecture for reusable AI, data, and ML platform capabilities 🔹 Support the design of scalable, secure, and enterprise-grade software solutions 🔹 Assess the feasibility of new AI / data initiatives and identify low-cost, quick-start technical approaches 🔹 Translate business problems and technical requirements into clear solution designs and implementation plans 🔹 Drive architectural decision-making, including trade-offs around cost, risk, scalability, security, time-to-value, and maintainability 🔹 Support technical governance processes and ensure decisions are structured, documented, and auditable 🔹 Work with teams to define reusable components, design patterns, interfaces, and platform capabilities 🔹 Collaborate with cloud platform, data platform, software engineering, and architecture teams 🔹 Guide teams on engineering best practices, CI/CD, route-to-live, runtime platforms, and delivery standards 🔹 Help prioritise technical work and coordinate the technical direction of squads in an Agile environment 🔹 Identify and reduce technical risks in a structured and data-driven way 🔹 Communicate complex technical topics clearly to both technical teams and senior stakeholders 🔹 Contribute to a strong engineering culture based on ownership, pragmatism, continuous improvement, and technical excellence 💡 Must Have 🔹 10+ years of experience in Software Engineering, Enterprise Engineering, or similar technical environments 🔹 At least 4 years of experience as a Tech Lead, Lead Engineer, Staff Engineer, Principal Engineer, Engineering Lead, or similar role 🔹 Strong background in software engineering fundamentals and system design 🔹 Proven experience owning architecture or technical design decisions for complex systems 🔹 Ability to design scalable, secure, and maintainable systems, considering trade-offs and business impact 🔹 Hands-on technical background, ideally with Python and data-oriented or AI-focused environments 🔹 Experience with cloud platforms, ideally AWS 🔹 Experience with CI/CD pipelines and modern software delivery practices 🔹 Experience with GitHub, Git workflows, code reviews, and engineering best practices 🔹 Strong understanding of Agile methodologies and technical coordination within squads 🔹 Ability to prioritise technical work and guide teams without direct people management responsibility 🔹 Strong communication skills and ability to explain technical decisions clearly 🔹 Ability to ask the right questions, clarify requirements, structure ambiguous problems, and make decisions 🔹 Fluent Spanish and English ✨ Nice to Have 🔹 Experience in AI, ML, MLOps, GenAI, LLM platforms, RAG, or AI-enabled products 🔹 Experience with data platforms, ML platforms, runtime platforms, or route-to-live processes 🔹 Experience designing reusable platform components in multi-tenant environments 🔹 Experience with AWS-native services and cloud architecture 🔹 Experience with MLOps, model development workflows, or CI/CD for data science and ML teams 🔹 Experience working with data engineers, AI engineers, ML engineers, or data scientists 🔹 Experience with technical governance frameworks such as ADRs, KDDs, design reviews, or architecture boards 🔹 Experience in enterprise environments with multiple stakeholders and cross-functional teams 📍 Location: Viladecans / Barcelona 🏢 Hybrid model: 2 days onsite per week 🌍 Why join this project? 🤝 People first – diverse and inclusive culture in an international environment 🚀 Join a strategic AI & Data platform initiative 🧠 Work on enterprise-level architecture, reusable AI capabilities, and scalable engineering solutions ⚙️ Combine hands-on technical leadership with architecture, system design, and engineering strategy ☁️ Work with modern cloud, software engineering, data, and AI-oriented environments 📈 Contribute to solutions designed to create real business impact across multiple operating companies 😁 High team stability and collaborative culture 🎓 €1200 per year training budget and continuous learning opportunities 💰 Flexible compensation model 🩺 Private health insurance and benefits package ⚡ Flexible working hours and hybrid model 🏋️ Wellhub: fitness, wellness, and mental health support ⚽ Football and paddle tennis teams sponsored by Capitole 🥳 Team buildings, global events, and strong tech communities ✨ Want to know more about us? Click _ and discover all the details. 🔍 Curious about our culture? Check out what people are saying about us on _. 💬 We know that not every candidate will meet 100% of the requirements. If your profile doesn’t match perfectly but you believe you can add value, we’d still love to hear from you. 👉 Ready for the challenge? Apply now! Empowering People, Unlocking Innovation. Information Security Notice The employee will have access to confidential information related to Capitole and the assigned project. Compliance with internal security and information protection policies is mandatory.