5 beste Stellen als model based system engineering in stuttgart, bw – aktuell auf Personalsuche

Senior Integration Engineer (m/f/d)
Advantest —Böblingen
- Azure
- Informatik
- DevOps
Senior Manager Global Strategy & Footprint (m/w/d)
MANN+HUMMEL —Ludwigsburg
- Hybrides Arbeiten
- Management-Erfahrung
- Projektmanagement
- Produktion
- Kostenloser Parkplatz
Direkt bewerben
Senior EmbeddedSoftware Engineer
TechBiz Global GmbH —Stuttgart
- Vollzeit
- Master
- C++
- Bachelor
Direkt bewerben
Senior AI Software Engineer m/f/x (LLM & RAG Systems)
Nash Technologies —Böblingen
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Englisch
- Flexible Arbeitszeiten
Research Engineer - Training Large Behavior Models with Reinforcement Learning (EG16, f/m/div.)
Bosch Group —Renningen
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Machine Learning
Direkt bewerben

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Senior Integration Engineer (m/f/d)

Advantest -
Böblingen

Jetzt bewerben

Details zur Stelle

Qualifikationen

CI/CD
Power BI
Azure
Informatik
Kubernetes
XML
DevOps
C#
Microsoft SQL Server
NoSQL
Informationssysteme
Google Cloud Platform
Java
Master
Microservices
SOAP
AWS
Projektmanagement
Docker
JavaScript
REST
Systems Engineering
Scripting
Talend
Softwareentwicklung
APIs
Erfahrung in der IT
JSON
Kafka
PL/SQL
Python

Vollständige Stellenbeschreibung

Integration Development & Implementation:

Design, develop, and implement robust integration solutions between various applications, services, and platforms.
Lead and participate in the development of APIs, messaging systems, and data transformation processes to ensure seamless system communication.
Build custom connectors, workflows, and middleware solutions for integrating third-party and in-house systems.

Integration Frameworks & Tools:

Utilize integration tools and platforms such as Azure iPaaS, Apache Camel, MuleSoft, Dell Boomi, Talend, IBM Integration Bus, or similar to design and implement integration solutions.
Set up and manage ESB (Enterprise Service Bus) solutions to streamline data flow across systems.
Optimize and manage cloud-based and on-premises integration platforms.

Solution Architecture:

Ensure that integration designs comply with best practices, performance standards, and security guidelines.
Work closely with teams to define integration architecture strategies and governance models.

Data Management & Transformation:

Develop and maintain data mapping, transformation, and validation processes between applications.
Troubleshoot data-related issues and provide timely resolutions.

Collaboration & Communication:

Partner with development, infrastructure, and business teams to understand integration needs and translate them into technical requirements.
Act as a point of contact for any integration-related technical issues or inquiries.

System Maintenance & Support:

Troubleshoot and resolve integration issues in a timely manner, ensuring minimal disruption to business processes.
Document integration processes, frameworks, and solutions to maintain system transparency and ensure knowledge transfer.

Requirements:

Technical Proficiency:

Proven hands-on experience in implementing Azure iPaaS integration frameworks. Such as:
- Azure Logic Apps: Experience in designing and implementing workflows using Azure Logic Apps.
- Azure Service Bus: Proficiency in setting up and managing Azure Service Bus for messaging and communication between applications.
- Azure API Management: Knowledge of configuring and managing APIs using Azure API Management.
- Azure Functions: Experience in developing serverless functions using Azure Functions for integration tasks.
- Azure Data Factory: Familiarity with Azure Data Factory for data integration and ETL processes.
Strong knowledge of API design and development (REST, SOAP, JSON, XML).
Experience with message brokers like Kafka, RabbitMQ, or ActiveMQ.
Familiarity with cloud-based Azure integration services.
Proficient in scripting languages (e.g., Python, JavaScript) and integration-related programming (Java, C#, etc.).
Experience with database technologies, including PLSQL, MSSQL and NoSQL, as they relate to integration tasks.

Project Management & Communication:

Demonstrated ability to work on multiple integration projects simultaneously, balancing priorities and meeting deadlines.
Excellent communication skills, with the ability to translate technical details into non-technical terms for stakeholders.
Proven track record of successfully managing integration challenges in large-scale enterprise environments.
Strong troubleshooting and problem-solving skills with the ability to diagnose complex system issues.

Other Desirable Experience:

Experience with DevOps practices, including CI/CD pipelines for automated integration testing.
Familiarity with microservices architecture and containerization (e.g., Docker, Kubernetes) as it pertains to integration.
Knowledge of data governance, compliance regulations (GDPR, HIPAA), and security best practices related to system integration.

Your Profile:

Master's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
7-10 years of professional experience in system integration, software development, or a related field, with a focus on enterprise-level projects.
Certifications in relevant integration platforms (e.g., MuleSoft Certified Developer/Architect, Dell Boomi Certified Developer, IBM Certified Integration Architect) or equivalent experience with other industry-standard integration tools.
Additional certifications in cloud platforms (AWS, Azure, Google Cloud) and DevOps practices (CI/CD, Kubernetes, Docker) are a plus. Master's degree in Computer Science/IT, or related with 7+ years' experience as BI developer with Power BI
Full life-cycle implementation experience: Requirements gathering, conception & design, development, implementation, deployment and driving user adoption
Scripting Languages: Familiarity with scripting languages (e.g., Python) is a plus.
Strong organizational, communication and time/project management skills

Jetzt bewerben

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model based system engineering Jobs in stuttgart, bw

Senior Integration Engineer (m/f/d)

Senior Manager Global Strategy & Footprint (m/w/d)

Senior EmbeddedSoftware Engineer

Senior AI Software Engineer m/f/x (LLM & RAG Systems)

Research Engineer - Training Large Behavior Models with Reinforcement Learning (EG16, f/m/div.)

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