
Wladimir Schmidt
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Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Wladimir Schmidt
- Bis heute 2 Jahre und 2 Monate, seit März 2023SAP
Principal Software Engineer / Cloud-Native Architect
* Lead Architect for the Business Transformation Center, enabling cloud- native selective data transfer within SAP Cloud ALM, with the product successfully launched into general availability * Collaborated across teams and departments to unify architectural standards and ensure scalability * Led cross-team architectural reviews, integrating diverse perspectives for cohesive design * Provided guidance and resolved architecture-related challenges, enhancing system efficiency and maintainability
- 2 Jahre und 5 Monate, Nov. 2020 - März 2023
Senior Software Engineer
SAP
* Tech-lead of the Product Footprint Management (PFM) team, actively contributing to the team and leading the product launch into general availability * Proactively contributing to the architecture of cloud-native applications and cross-product architecture (e.g., async messaging with Apache Kafka) * Mentoring team members and conducting interviews for new hires
* Led the launch of Falcon X into general availability as tech lead, designing real-time KYC and financial reporting microservices * Interviewed and mentored new team members on Kubernetes, Docker, best practices with Java, and frameworks used
* Developed a next-gen distributed OLTP platform for real-time compliance, anti-fraud, and financial data analysis (FICO Falcon X) * Led project development across India and USA teams * Advocated for automation to accelerate development and release cycles * Presented emerging software technologies in-house * Advised cloud teams on Kubernetes, cloud-native apps, and Apache Kafka
* Developed a next-gen distributed OLTP platform for real-time compliance, anti-fraud, and financial data analysis (FICO Falcon X) * Led project development across India and USA teams * Advocated for automation to accelerate development and release cycles * Presented emerging software technologies in-house * Advised cloud teams on Kubernetes, cloud-native apps, and Apache Kafka R&D Department.
- 7 Monate, Juli 2016 - Jan. 2017
Studentische Hilfskraft
Technische Universität Darmstadt, Telecooperation Lab
• Analyzed researched data with Deep Learning (Keras/Theano) • Prepared and shipped to Open Source the Assistance Platform developed in the course of my Master’s thesis research
- 3 Jahre und 3 Monate, Nov. 2013 - Jan. 2017
Advanced Java Developer
FINARX GmbH
• Designed, maintained and implemented new features for a cloud-based solution to track and manage working hours: developed public API, reporting, single sign-on, data export, and many extras • Developed a web application aimed to track and manage certificates of aviation safety officers. Applied agile techniques in working with customer • Enhanced scalability and maintainability of existing products • Implemented CI and deployment system enabled fast development and release feedback
- 2 Jahre, Nov. 2011 - Okt. 2013
Junior Java Developer
FINARX GmbH
• Designed (Initiated development of) the first internal cloud-based solution for managing working times • Maintained and developed Android applications
- 4 Monate, Okt. 2011 - Jan. 2012
Studentische Hilfskraft
Fraunhofer IGD, Visual Analytics
• Visualization of voting results data for German Bundestag using d3.js visualization framework • Plotting interactive graph on parallel coordinates system
- 1 Monat, Okt. 2011 - Okt. 2011
Studentische Hilfskraft
Technische Universität Darmstadt, Ubiquitous Knowledge Processing Lab
• Mocking and development of user interface for UBY (A Large-Scale Unified Lexical-Semantic Resource) search engine with the help of Wicket framework
Ausbildung von Wladimir Schmidt
- 3 Jahre und 6 Monate, Okt. 2013 - März 2017
Informatik
Technische Universität Darmstadt (TU Darmstadt)
- 5 Jahre, Okt. 2008 - Sep. 2013
Informatik
Technische Universität Darmstadt (TU Darmstadt)
- 2004 - 2007
Automatisierungstechnik
OSZ Technik II Hennigsdorf
Automatisierung, CCNA
Sprachen
Deutsch
Fließend
Englisch
Fließend
Russisch
Muttersprache
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