Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Obrero del byte
Staff Software Engineer with 20+ years experience architecting and scaling distributed systems that serve millions of requests per minute. Technical lead who has delivered measurable impact in cross-team initiatives for developer productivity, system reliability and core backend systems. For the last 3 years at Spotify I improved developer experience for 5K+ engineers by building AI-powered tooling. Previously, I architected and scaled systems that serve millions of requests per minute to 100M+ users at companies like SoundCloud, Shopify and Contentful. I have also shared knowledge by mentoring 10+ engineers and speaking in 15+ conferences like LISA, RubyNation and JRubyConf.
Universidad del Bío Bío
Software Engineer
January 1, 2000 – January 1, 2004
My LinkedIn Profile
Meme Specialist
January 1, 2026 – Present
Spotify
Staff Software Engineer
February 1, 2023 – December 1, 2025
Berlin, Germany
Shopify
Staff Software Engineer
November 1, 2021 – September 1, 2022
Berlin, Germany
Contentful
Staff Software Engineer
April 1, 2020 – June 1, 2021
Berlin, Germany
SoundCloud
Senior Software Engineer
February 1, 2014 – January 1, 2020
Berlin, Germany
Hop.In
CTO
February 1, 2012 – December 1, 2013
Santiago Metropolitan Region, Chile
Continuum HQ
Senior Software Engineer
February 1, 2011 – December 1, 2011
Santiago Metropolitan Region, Chile
Grupo Taisa
Engineering Manager / Project Manager
December 1, 2008 – December 1, 2010
Santiago Metropolitan Region, Chile
Depósito Central de Valores, Chile
Software Engineer
December 1, 2005 – August 1, 2008
Santiago Metropolitan Region, Chile
Everis
Software Engineer
January 1, 2005 – November 1, 2005
Santiago Metropolitan Region, Chile
Mathematics for Machine Learning
Imperial College London
June 28, 2026 – Present
Mathematics for Machine Learning: PCA
Imperial College London
June 28, 2026 – Present
Mathematics for Machine Learning: Multivariate Calculus
Imperial College London
June 28, 2026 – Present
Mathematics for Machine Learning: Linear Algebra
Imperial College London
June 28, 2026 – Present
Functional Programming Principles in Scala
Coursera
June 28, 2026 – Present
Programming Foundations: Secure Coding
June 28, 2026 – Present
Cybersecurity at Work
June 28, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies, from startups to large enterprises, and their involvement in initiatives like mentoring for Rails Girls SoC, suggest adaptability and a collaborative mindset. The breadth of technologies and problem domains tackled (financial software, social graphs, e-commerce, internal tooling) indicates a willingness to learn and contribute across different areas. The long tenure at SoundCloud (6 years) also suggests loyalty and commitment.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, mentorship, and problem-solving skills. Their work on improving developer productivity, reducing toil, and coordinating with multiple teams indicates a strong operational fit and ability to drive initiatives. The introduction of agile methodologies (unit testing, CI, short iterations) at Grupo Taisa also points to a proactive approach to process improvement.