DevOps Engineer Specialized in Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Budapest University of Technology and Economics
Master of Science (MSc), Business Information Technology
January 1, 2016 – January 1, 2018
Budapest University of Technology and Economics
Bachelor of Science (BSc), Electrical and Electronics Engineering
January 1, 2012 – January 1, 2016
SAP
Senior DevOps Engineer
March 1, 2023 – Present
Budapest, Hungary
aiMotive
ML DevOps Engineer
March 1, 2022 – December 1, 2022
Budapest, Hungary
SAP
DevOps Engineer
May 1, 2021 – March 1, 2022
SAP
Cloud Engineer for Machine Learning
October 1, 2019 – May 1, 2021
SAP
Cloud Engineer for Machine Learning
September 1, 2017 – September 1, 2019
SAP
Vocational Training Program
August 1, 2016 – September 1, 2017
Attrecto Smartphone Solutions
iOS Developer
September 1, 2015 – November 1, 2015
MTA SZTAKI (Institute for Computer Science and Control)
Build Engineer
June 1, 2015 – July 1, 2015
AWS Certified DevOps Engineer – Professional
Amazon Web Services (AWS)
June 24, 2026 – Present
Professional Cloud DevOps Engineer
June 24, 2026 – Present
CKA: Certified Kubernetes Administrator
The Linux Foundation
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong alignment with a DevOps culture, evidenced by their career progression and certifications. Their experience across different roles (DevOps, ML DevOps, Cloud Engineer) and companies (SAP, aiMotive) shows adaptability. The long tenure at SAP, interspersed with a role at aiMotive, suggests loyalty and a desire for diverse experiences. The certifications indicate a self-driven individual who values professional development, which aligns well with a culture of continuous improvement. However, the lack of project descriptions makes it difficult to assess collaboration styles or initiative beyond role titles.
Soft Skills & Operational Fit
The candidate's extensive experience in various roles at SAP, including Senior DevOps Engineer and Cloud Engineer for Machine Learning, suggests strong operational fit and experience in structured environments. The certifications indicate a proactive approach to skill development. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity cannot be fully assessed.