Cloud engineer állások, munkák it programozás, fejlesztés területen

• Systematically execute, record, and evaluate physical tests of hardware with technical equipment and real biological samples
• Define and evaluate test routines together with application experts and the software development team
• Script simple tests to optimize parameters during tests

• Designing and implementing modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS)
• Providing technical leadership throughout the project lifecycle and collaborating with business stakeholders

• Identify, design and evaluate ML and AI approaches for geospatial, Earth observation and unstructured data (e.g. multimodal data fusion), and decide with the team which methods best fit humanitarian challenges
• Keep track of the state of the art in AI and turn new ideas into prototypes and products

• Design and build backend services in that handle high-throughput, low-latency messaging traffic
• Work on core infrastructure: message queues, delivery guarantees, connection handling, and storage layers
• Debug and optimize systems under real production load, not just in benchmarks

• Design and build backend services in that handle high-throughput, low-latency messaging traffic
• Work on core infrastructure: message queues, delivery guarantees, connection handling, and storage layers
• Debug and optimize systems under real production load, not just in benchmarks

• Support the definition and implementation of security architecture principles and standards
• Contribute to designing secure solutions across cloud and on-premise environments
• Translate business and technical needs into practical and scalable security solutions (with guidance)

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

• Designing, developing, and implementing complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Designing, building, and optimizing modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• You have extensive experience with SAP driven business transformations either in specific industry or cross-industry
• You are able to manage end-to-end sales processes / “RFP” related dynamics for medium/high complexity clients

• Exciting projects in the space industry
• Application- and hardware-related development
• Implementation of test procedures/automated scenarios including system integration
• Carrying out different test procedures
• Cooperation in system integration

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

Technologydue diligence: Assess technology landscapes, applications, infrastructure, cloud,data, cybersecurity, operating models and technology spend to identifytransaction risks and opportunities....

• Defining and evolving the architecture strategy for enterprise Windows and Linux platforms across on-premises, cloud, and hybrid environments
• Leading infrastructure modernization initiatives focused on scalability, security, resilience, and automation

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

As a Crisis & Resilience Manager, you will be part of Deloitte’s subject matter expert group helping clients to prepare for and successfully navigate through disruptions and crises...

• 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.

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

As a Crisis & Resilience Manager, you will be part of Deloitte’s subject matter expert group helping clients to prepare for and successfully navigate through disruptions and crises...

• 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.

• Defining architecture strategy and technology roadmaps for backup, storage, and data protection services
• Driving modernization initiatives across enterprise and cloud storage platforms
• Designing highly resilient solutions that support business continuity and disaster recovery objectives