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• Design new protocol features and extensions, such as multi-device sync, group messaging and calls, and write the specifications for them.
• Implement protocol logic in and review implementations across our Android, iOS, desktop and web clients.

• Adatforrások integrálása a vállalat új Data Lakehouse platformján
• Adatbetöltési folyamatok fejlesztése a vállalat új Data Lakehouse platformján
• Skálázható adatfeldolgozó folyamatok fejlesztése
• Adattranszformációk fejlesztése
• Adatfeldolgozó folyamatok optimalizálása

Own the backend architecture. Our stack is Java 25, Boot 4, JPA, MariaDB, RabbitMQ, and Elasticsearch, among others....

• Your responsibility: From day one, you'll own your stories and take end-to-end responsibility for your tasks.
• Your team: You'll work in a small team of no more than five full-stack engineers. Like this, our teams are more efficient and can move fast.

• Full stack fejlesztés Node.js és React technológiákkal
• Technikai architektúra tervezése és alakítása
• Aktív részvétel a terméktervezési és döntéshozatali folyamatokban
• Együttműködés üzleti és technikai stakeholderekkel
• Részvétel release-ekben, deploymentekben és üzemeltetési feladatokban

• Surgical microscopes creating surgical augmented reality
• Ultrasound devices creating 3D ultrasound imaging
• Brainlab's own Robotic Arm (Cirq)

Leadership and accountability: Take disciplinary, organi­zational, and budgetary responsi­bility for the software develop­ment of our teams within the Agile Release Train (ART) Under­writing, focusing on under­writing appli­cations within HDI Global...

Architecture & Infrastructure: Set standards for infrastructure, access, and deployment with IT, security, and the ML & AI engineers. Build all AI platform components with Terraform on top of the AWS foundation and GitLab setup of our cloud engineering team....

• Developing software for controlling and configuring a large camera system consisting of multiple units
• Developing a system for receiving detector data at high speed on a set of data acquisition PCs, in collaboration with experts in hardware acceleration

Predictive ML: Build models for lead generation, demand forecasting, residual value forecasting, portfolio steering, and fraud detection....

• Develop and maintain embedded software for ARM-based SoC and FPGA control platforms.
• Configure and integrate embedded Linux/PetaLinux, including board-support packages, bootloaders, device trees and peripheral drivers.

CI/CD ownership: Own and evolve our shared GitHub Actions platform so it stays maintainable, reliable and easy to adopt across the team's repositories. Our stack is mainly Python, so you'll need a solid grasp of the Python packaging and tooling ecosystem. Occasionally you'll extend the platform to...

• An opportunity to build the foundation for next-generation products
• The option to write a master thesis following an internship or working student position
• Hands-on work on intrinsic, extrinsic, and multi-camera calibration for ZEISS use cases

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Design, develop, and maintain robust and scalable software solutions
• Apply object-oriented design principles and established design patterns
• Contribute to system architecture, improvement of our existing software design and technical decision-making

• Whether in the cloud or an on-premises data center, you expertly navigate the world of Big Data, helping our clients make their data business- or operations-ready.
• You access diverse data sources efficiently and reproducibly.
• You design, test, and monitor distributed data processing pipelines.

Support the evolution of our modelling and analysis software ecosystem through collaborative development, documentation, and adherence to good engineering practices...

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending