Senior software engineering for companies that can't afford to get it wrong. Architecture, due diligence, and hands-on delivery — backed by 20+ years at the frontier of tech.
A selection of roles across high-scale product engineering, platform leadership, and enterprise infrastructure.
Hyros is a hyper-accurate ad tracking and marketing attribution SaaS platform that uses AI-driven multi-touch attribution to help large digital advertisers optimize return on ad spend. As CTO and first engineer, I designed the entire technical architecture from the ground up — including the event tracking pipeline, server-side attribution engine, and integrations with major ad platforms — scaling the system to sustain 10,000 queries per second.
LinkedIn Influencers, launched in 2012, was LinkedIn's landmark long-form content publishing platform that gave globally recognized thought leaders — heads of state, CEOs, and public intellectuals — direct access to LinkedIn's hundreds of millions of members. As Lead Engineer, I owned the technical direction of the Influencer team end-to-end: architecture, delivery, and scaling — growing the platform to over one million publishers and 150,000 articles published weekly, making it foundational to LinkedIn's content strategy.
MuleSoft's Mule 3 is an open-source Enterprise Service Bus and integration framework that serves as the connective tissue for enterprise IT, enabling legacy systems, databases, and modern services to communicate at massive scale across financial services, healthcare, and other industries. I worked on the core architecture and performance engineering of Mule 3, focusing on the platform's SEDA runtime — the dynamic thread-pool and async queueing model that allows Mule to sustain high-throughput integration workloads across clustered enterprise deployments globally.
Domain modeling, service boundaries, data flows, and scalability design for greenfield and brownfield systems alike.
Pre-acquisition and investment assessments covering code quality, security posture, team capability, and risk remediation costs.
Cloud-native design on AWS, GCP, and Azure — Kubernetes, Terraform, observability stacks, and cost optimization at scale.
Strangler-pattern migrations, re-platforming strategies, and incremental modernization that keeps the roadmap moving.
REST, GraphQL, and event-driven API design for platforms that need to serve internal teams and external partners equally well.
Pragmatic AI adoption: LLM integration, ML pipeline architecture, and the infrastructure required to run and observe models in production.
Architecture security reviews, threat modeling, SOC 2 / HIPAA readiness, and zero-trust network design.
Ongoing technical leadership — roadmap shaping, hiring support, vendor evaluation, and board-level engineering communication.
M4T3 Labs was founded by Esteban Robles Luna — a PhD computer scientist and Silicon Valley veteran who has shipped at scale inside Google, LinkedIn, and MuleSoft. His conviction: most software problems are architecture problems in disguise, and the only way to solve them is with engineers who have actually done the work.
Esteban has founded and scaled multiple technology companies, including Ensolvers — a 100-person engineering firm spanning 10 countries — and served as CTO at Hyros, architecting its ad-attribution platform from the ground up to 10K QPS. He brings that same depth of hands-on engineering leadership to every M4T3 Labs engagement.
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