> Markdown version of [/jobs/ext/2895786-lead-software-engineer-ai-data](https://www.wearedevelopers.com/jobs/ext/2895786-lead-software-engineer-ai-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer, Ai & Data - **Company:** Bravo Capital - **Location:** Ourense, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Cloud Computing, Computer Engineering, Continuous Integration, Cursor (Graphical User Interface Elements), Linux, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, SQL Databases, Rust (Programming Language), ReactJS, Git, Information Technology, Data Pipelines, Docker - **Published:** September 14, 2026 - **Apply:** https://www.buscojobs.com.es/lead-software-engineer-ai-data-en-orense-ID-371784902 ## About the Role work directly with business teams, explain trade-offs clearly and help others build better what we're looking for 3+ years of professional experience in software, data or applied AI, with Git Hub projects you can explain in depth a degree in data science, computer science or computer engineering strong analytical thinking, curiosity, attention to detail and the initiative to solve problems independently excellent communication: clear writing, careful listening and simple explanations for technical and nontechnical colleagues practical knowledge of Git Hub, CI/CD, AWS, S3, Hetzner and Dev Ops, including testing, security, monitoring, backups and recovery tools you'll work with Go, Rust, Python, SQL, React, Type Script, Postgre SQL, SQL Server, Docker and Linux AI coding tools such as Codex, Claude Code and Cursor, plus MCP, skills, prompts, context, caching, RAG and evaluations you don't need every tool on day one, but you should learn quickly and test what you build we value strong algorithms and systems fundamentals, deep optimisation and model training or fine-tuning, with resources available when the problem calls for them apply with your CV, Git Hub and two projects, explaining what you built and one technical decision share only work you're authorised to disclose and confirm you can work in our Valencia office five days a week ## Description lead software engineer, AI & data BRAVO CAPITAL · Valencia · full-time · on-site, five days a week very competitive salary you enjoy hard problems, go deep to understand how things work and explain complex ideas simply you'll lead software, data, AI and infrastructure, setting technical direction, building useful systems and leading our four-person Analytics team what you'll dobuild agents and apps with frontier AI models, choosing the best balance of capability, speed and costbuild reliable data pipelines and apply statistics and machine learning to real business problemsown delivery from code to production, including Git Hub CI/CD pipelines, cloud infrastructure and resilient systemswork directly with business teams, explain trade-offs clearly and help others build better what we're looking for3+ years of professional experience in software, data or applied AI, with Git Hub projects you can explain in deptha degree in data science, computer science or computer engineeringstrong analytical thinking, curiosity, attention to detail and the initiative to solve problems independentlyexcellent communication: clear writing, careful listening and simple explanations for technical and nontechnical colleaguespractical knowledge of Git Hub, CI/CD, AWS, S3, Hetzner and Dev Ops, including testing, security, monitoring, backups and recovery tools you'll work with Go, Rust, Python, SQL, React, Type Script, Postgre SQL, SQL Server, Docker and Linux AI coding tools such as Codex, Claude Code and Cursor, plus MCP, skills, prompts, context, caching, RAG and evaluations you don't need every tool on day one, but you should learn quickly and test what you build we value strong algorithms and systems fundamentals, deep optimisation and model training or fine-tuning, with resources available when the problem calls for them apply with your CV, Git Hub and two projects, explaining what you built and one technical decision share only work you're authorised to disclose and confirm you can work in our Valencia office five days a week ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Dev Digest 131 - AI'm not sure about OSS](https://www.wearedevelopers.com/magazine/472-dev-digest-131-ai-m-not-sure-about-oss)