Building engineer állások Külföldön (it, fejlesztési vezető)

As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please...

• Dmytro Yurchenko - Senior Machine Learning Engineer - LinkedIn
• Marina Novikova - Data Scientist - LinkedIn
• Vukasin Vasiljevic - Machine Learning Engineer - LinkedIn
• Marcel Schumacher - Data Product Manager - LinkedIn

• Janine Lee - Director Data - LinkedIn
• Dmytro Yurchenko - Senior Machine Learning Engineer - LinkedIn
• Vukasin Vasiljevic - Machine Learning Engineer - LinkedIn
• Marcel Schumacher - Data Product Manager - LinkedIn

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Key job responsibilitiesYour responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with global AWS teams, and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the...

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

Strategic Leadership: You own the strategic direction for AI-powered search and decision support as a core capability within the Thieme product portfolio, reporting directly to the CTO....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Drive core technical decisions that shape our architecture, engineering practices, and long-term team vision
• Build high-performance, scalable backend systems using Python that power Bitpanda's core trading infrastructure

• Design, Prototype and experiment, turning new ideas into tangible MVPs and proofs of concept through refining them with feedback from consultants and clients.
• Lead the development of AI products tailored to real business challenges — from concept to scalable implementation.

• own and evolve the frontend architecture for an embedded system and beyond
• design user-facing apps considering resource limits, security, and update constraints
• actively contribute code and drive hands-on development, especially in early project phases

• own and evolve the userspace architecture of an embedded Linux system
• contribute hands-on to core components, especially in early project phases
• define stable interfaces and APIs in collaboration with frontend and system teams
• build and mentor the engineering team

• Drive frontend development of customer-facing features on rebuy.de, focusing on Angular, with occasional opportunities for cross-stack collaboration (PHP/Symfony, Kotlin)
• Drive technical decisions on architecture, performance, and scalability for the frontend

Our backend systems are the backbone of ING's Daily Banking platform – and this is where you come in. You'll design, develop, and maintain reliable backend applications and services using modern frameworks like Spring Boot, Java and Kotlin, providing the power our systems need....

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the Database Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for operational data storage solutions.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.