We are looking for a Staff AI Platform Engineer to join a leading international group in the aviation sector, based in Barcelona. You will join a team accelerating the adoption of Artificial Intelligence across the organization by building the next-generation AI-powered Internal Developer Platform, used by hundreds of engineers and data scientists to build, deploy, and operate software faster, more securely, and more autonomously. This is a predominantly hands-on role.
Design, build, and evolve reusable platform capabilities: AI agents and agentic development workflowsDevelop AI-powered CLIs and self-service tools for developersBuild Kubernetes Operators and controllersDesign platform APIs and SDKsCreate Golden Paths, developer portals, and self-service workflowsImplement policy engines and automated governance workflowsDevelop CI/CD automation with GitHub ActionsSolve the platform’s most complex and critical problems, setting the standard with production-quality code and reusable componentsDefine technical direction and engineering standards through code, reviews, and pair programming, reducing ambiguity with prototypes rather than documentsWork directly with engineers and data scientists to identify friction and measurably improve their productivityPrototype emerging AI capabilities and incorporate AI-native practices into the development lifecycle (SDLC)Drive the cloud and DevSecOps foundation, primarily on AWSMentor other engineers and communicate technical decisions clearly to non-technical stakeholders, managing risk, technical debt, and complianceSignificant experience designing and building development platforms or large-scale software platforms, with a focus on developer experience, reliability, and scalabilityExperience with platforms used by large engineering organizations (hundreds of engineers across multiple teams),



while retaining the agility to prototype and deliver without heavy processesA proven track record of delivering production software with Python (primary language) and Go for system-level components (e.g., Kubernetes Operators and controllers)Demonstrated ability to deliver large-scale platform capabilities hands-on: SDKs, CLIs, platform APIs, or similarStrong experience with cloud architecture and services, preferably AWSExperience using AI-native engineering workflows (Claude Code, Cursor, Codex, Copilot, or similar) to accelerate deliveryFamiliarity with containers and orchestration (Docker, Kubernetes, ArgoCD/Flux)Leadership based on technical credibility and hands-on work, with the ability to mentor and guide teamsAs a general guideline, around 10+ years of software engineering experience is valued (not a strict requirement; demonstrated impact and the depth of what you have built matter more)Your previous industry is not relevant: platform and developer experience skills are transferable. Deep learning experience is not required, but experience with agentic systems isProfessional English is essential (the working environment is 100% in English)You are passionate about building tools that make other engineers much more productive. You solve difficult problems with simple, elegant designs, are genuinely curious about AI, and constantly experiment with new ways to improve productivity. You are comfortable with ambiguity, validate ideas quickly with code and prototypes, and balance pragmatism with a long-term technical vision.
Availability to work from the Barcelona office 2 days per weekFlexible hoursCompetitive salary and versátil benefits planPrivate health insuranceAnnual budget for training and professional developmentLanguage coursesParticipation in technology communities and industry eventsOngoing support and professional guidanceA development and growth plan tailored to your goals

📌 AI platform engineer in aviation (Barcelona)
🏢 Innoit Consulting
📍 Barcelona