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Principal Infra Engineer: 15 years of software development (8yr Python + 7yrs JVM)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Developing Scalable & high quality Infrastructure for Data pipelines, Real time & ML based products.
Ben-Gurion University of the Negev
Bsc, Computer Science
January 1, 2007 – January 1, 2009
Apple
Senior Software Engineer
October 1, 2023 – Present
Israel · Hybrid
Anaplan
Senior Software Engineer
October 1, 2020 – August 1, 2023
Kfar Saba, Center District, Israel
HERE Technologies
Principal Algorithm Engineer
September 1, 2017 – June 1, 2020
Israel
Taboola
Machine Learning Infra Engineer
January 1, 2016 – August 1, 2017
Taboola
Principal Software Engineer
April 1, 2013 – December 1, 2015
Nolio
Software Engineer
February 1, 2011 – April 1, 2013
dalet
Software Engineer
July 1, 2009 – September 1, 2010
Cultural Fit Analysis
The candidate has worked at several prominent technology companies (Apple, Anaplan, HERE Technologies, Taboola), indicating adaptability to different corporate cultures. The diverse project experience, ranging from infrastructure development to algorithm engineering and ML systems, suggests a broad technical interest and ability to contribute to various aspects of an ML team. The progression from Software Engineer to Principal Algorithm Engineer and Senior Software Engineer demonstrates career growth and a commitment to technical excellence. The target role of ML Engineer aligns well with the candidate's recent experience in ML infrastructure and algorithm development.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leading projects, hiring, and working with data scientists, suggesting strong collaboration and leadership potential. The descriptions also highlight problem-solving and performance optimization skills, which are critical for operational roles. However, without psychometric test results, a definitive assessment of soft skills and operational fit is limited.