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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...

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Önálló kutatás és dokumentáció készítése a kutatás folyamatáról
• Patch diffing készítése BinDiffel

• Design, implement and operate secure and highly automated infrastructure in an on-premise private cloud
• Build and maintain Linux-based systems and Kubernetes environments
• Deploy and operate security monitoring and detection solutions, including SIEM platforms

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Conception, design, engineering and implementation of infrastructure projects in the cloud
• Implement security controls, such as firewalls, security groups, and network access controls, to protect cloud infrastructure and data
• Troubleshoot and resolve issues with cloud infrastructure in a timely manner

• Kialakítás és üzemeltetés ügyfelek részére dedikált sandbox környezetek
• Felelősség az infrastruktúra automatizálásáért Terraform vagy Bicep használatával
• Fejlesztés GitLab alapú deployment pipeline-okon

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Design, develop, and integrate novel components, for example for establishing trust (e.g. SPIFFE / SPIRE), securing network connections (e.g. mTLS, IPSec), and secure device onboarding (e.g. FIDO Device Onboarding).
• Maintain and continually enhance our existing software written in Rust.

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• Contribute to the full software development lifecycle, from concept to product release
• Design and implement software components and services across system layers using C++, C#, Rust, and modern web technologies (TypeScript, HTML5, React)

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Native Swift/iOS application development
• User interface and function design as planned
• Participation in requirements gathering, project and technical planning
• Unit and UI test writing and developer testing participation
• Continuous learning

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Interface between manufacturing and development, representing the Engineering function at the production level
• Responsible for manufacturing key figures such as OEE, cycle times, yield, and cost of manufacture

• Strong hands-on experience with AWS cloud environments and services.
• Experience with Infrastructure as Code, ideally Terraform.
• Knowledge of CI/CD, automation, containers and modern DevOps practices.
• A passion for designing reliable, scalable and secure cloud solutions.