Backend programozó állások Külföldön (it programozás, fejlesztés)

• YOUR RESPONSIBILITIES:
• Design and implement high-performance software components for complex distributed systems, focusing on C++ development and advanced network protocols.
• Develop features aligned with the product roadmap and implement custom solutions for individual customer requirements.

• Work within the Magna Seating IT/OT team to support Digitalization strategy in Seating Europe Group
• Support development and implementation of digitalization initiatives in Seating Europe divisions
• Manage code deployments, fixes, updates and related processes

• Design and build applications using Workshop, Ontology, Functions, Automate, and React Apps
• Translate business requirements into robust, scalable real-time logic
• Work across the entire application layer: frontends, APIs, backend components

• Develop and enhance the CRM architecture, including future AI solutions
• Configure and customize Salesforce features, such as case management
• Integrate third-party systems (e.g., telephony, chatbots) using APIs and middleware tools

• Help us set the right goals: Develop clear and measurable targets based on an initiatives' scope.
• Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.

Senior Blockchain Engineer - DeFi / Smart Contracts Lausanne, Switzerland (Hybrid) |% | Permanent contract A fast-growing Swiss technology company is looking for an experienced Senior Blockchain Engineer to strengthen its DeFi product team. In this role, you'll be at the heart of designing and...

• Lead the SAP development within the S/4HANA transformation program, functional developments and operational business
• Ensure all custom developments comply with SAP Clean Core principles and standardized development guidelines

• Development and maintenance of embedded software components in C/C++
• Porting and rehosting existing software solutions to new target architectures
• Parallelisation of software processes on multi-core processors
• Integration and use of tools such as Tiger Lab for simulation and analysis

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

• Implementation of software components in helicopter simulations
• Integration of software components into the overall system
• Definition and execution of integration tests
• Creation of the documentation under consideration of project specifications

• Address and resolve basic SAP related incidents and service requests.
• Act as a liaison between users and senior SAP team members
• Implement small-scale enhancements and fixes in SAP (ABAP or other relevant technologies).

• Take full product ownership of our internal developer platform – from vision to implementation and operation
• Design and evolve a secure, scalable self-service platform that enables our engineering teams to move faster and safer

• Design, develop, and maintain ETL pipelines for extracting and transforming data from SQL Server–based systems
• Work across data domains including Sales, Finance, Commissions, Logistics, Procurement, and CRM
• Ensure data accuracy, consistency, and readiness for consumption by BI platforms

• Design, develop, and maintain ETL pipelines for extracting and transforming data from SQL Server–based systems
• Work across data domains including Sales, Finance, Commissions, Logistics, Procurement, and CRM
• Ensure data accuracy, consistency, and readiness for consumption by BI platforms

• Develop, test, deploy, and monitor scalable filter pipelines and transformation processes that extract relevant metrics and features from billions of events.
• Data management in a Data Lake.
• Collaborate with data scientists and software developers to optimize and scale high-performance ML models.