I am a Senior Platform Engineer and Software Architect with over 20 years of experience building cloud-native platforms, automation systems, and AI infrastructure. Your approach to owning products for the long term — running small, talent-dense teams with startup urgency, and integrating AI deeply into the engineering workflow itself — is exactly the environment where I want to push my abilities to their fullest, while continuing to learn and grow professionally.

In my current role at T-Systems Iberia, I designed and deployed custom Kubernetes Operators in Go (Kubebuilder) that eliminated manual lifecycle management across enterprise environments, built Python automation pipelines that reduced manual release effort by ~60% — cutting cycles from days to hours — and recently led the design and deployment of an enterprise-grade MLOps platform for defense AI workloads, integrating Kubeflow, ClearML, and KServe on Kubernetes for GPU-accelerated inference and LLM deployment. I've worked comfortably across stacks — Go, Python, REST, gRPC integrations, Kubernetes and Docker — choosing tools for the problem rather than the trend, which mirrors how your team approaches its toolkit.

What I bring beyond the technical stack is a builder's mindset. I founded and ran a software company for sixteen years, shipping Chronos ADP — a workforce management platform for the oil sector — from architecture through sales and support, with clients still active today. That experience shaped how I approach engineering: real ownership means simplifying relentlessly and being accountable for outcomes, not just code.

Bending Spoons' focus on operating at extraordinary effectiveness while holding high ethical standards, and using AI to amplify — not replace — engineering judgment, is exactly the kind of challenge I want to work on next. I'd welcome a conversation about how my background fits what your team is building.