Arnaud Flament
Quality Assurance EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CTO & Co-Founder | Software Engineer at Core | Distributed systems, AI Infrastructure & Cloud-Native Architecture
With over 20 years of software engineering experience, I am a seasoned leader in the fields of artificial intelligence and cloud-native architecture. I have a proven track record of designing and building scalable, performant, and reliable systems that enable machine learning at scale for various domains and industries. As the Chief Technology Officer of ChainML, I lead the technical vision and strategy of the company, overseeing all aspects of software development, infrastructure, and operations. I work with a talented team of engineers and data scientists to deliver innovative solutions that leverage cutting-edge technologies.
ENSEEIHT
MS, Computer Science, Applied Mathematics, Applied Mathematics & Computer Science
January 1, 1994 – January 1, 1997
Lycée Gustave Eiffel, Bordeaux
Mathématiques Supérieures et Spéciales T prime, Mathematics and Physics
January 1, 1992 – January 1, 1994
Ripcord
Principal Engineer
June 1, 2026 – Present
San Francisco Bay Area · Hybrid
ChainML
Co-founder & Chief Technology Officer
September 1, 2022 – May 1, 2026
San Francisco Bay Area · Remote
Ripcord
VP, Software Engineering
April 1, 2020 – September 1, 2022
San Francisco Bay Area
Teradata
Senior Director, Software Engineering & Artificial Intelligence
September 1, 2017 – April 1, 2020
San Francisco Bay Area
OpenText
Software Engineer, Senior Consultant level - Architect
January 1, 2017 – September 1, 2017
San Francisco Bay Area
EMC
Software Engineer, Senior Consultant level - Architect
January 1, 2016 – January 1, 2017
EMC
Software Engineer, Consultant level
July 1, 2012 – January 1, 2016
EMC
Senior Manager, Software Engineering
December 1, 2010 – July 1, 2012
EMC
Manager, Software Engineering
July 1, 2008 – November 1, 2010
EMC
Principal Software Engineer
August 1, 2007 – July 1, 2008
Sogeti High Tech
Software team leader - Airbus France Research & Development Departement
January 1, 1997 – January 1, 2004
Greater Toulouse Metropolitan Area
Centre National d'Études Spatiales
Intern
June 1, 1996 – July 1, 1997
Toulouse Area, France
Machine Learning - Stanford University
Coursera Course Certificates
June 24, 2026 – Present
Scrum Master
Scrum Alliance
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across various companies (Ripcord, ChainML, Teradata, OpenText, EMC, Sogeti High Tech) and roles, including co-founder, VP, and director, demonstrates adaptability and a broad understanding of different organizational cultures. Their involvement in cutting-edge AI research and decentralized systems (ChainML) suggests an innovative and forward-thinking mindset. However, the target role is 'Quality Assurance Engineer', which is a significant shift from their senior leadership and architecture roles in software engineering and AI. While their deep technical background would be valuable, the alignment with a dedicated QA role, especially at a senior level, is not immediately apparent from their career trajectory, which focuses more on development, architecture, and management. This could indicate a potential mismatch in career aspirations or a desire for a significant career pivot.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and management capabilities, evidenced by roles like Co-founder & CTO, VP, Software Engineering, and Senior Director. Their experience in leading large teams, establishing technical objectives, and improving development processes (e.g., moving to agile methodologies, continuous integration) indicates a proactive and results-oriented approach. The descriptions suggest strong communication skills through their ability to bridge research with engineering and manage diverse teams. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.