Python állások, munkák

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Automatizált UI és end-to-end tesztek fejlesztése webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek karbantartása webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése

• Conduct security assessments, including vulnerability scanning, penetration testing, secure code reviews, and reverse engineering of applications and products
• Perform threat modeling and security risk assessments for software, connected devices, and cloud-based service

Analyze and characterize typical shock and load cases in transport and handling processes for highly sensitive optical components through literature review, data analysis, and experimental investigations...

You take over the technical leadership for the digital design domain in ASIC projects, coordinating specification, development, and integration across all stakeholders and making key technical decisions....

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• Design, implement, and analyse high- and low-resolution ocean simulations based on the ICON modeling framework
• Explore parameter and structural uncertainties in the model affecting biogeochemical processes
• Develop workflows for systematic model evaluation and benchmarking

• Development and application of advanced data science methods, including transformer-based models, to marine and Arctic biodiversity data
• Work with large-scale biological and environmental datasets (sequencing data, eDNA)

• Operation and evolution of Kubernetes platform
• Building, configuring, and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Design and operation of NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

Perform research in the field of closed-loop medication systems, aiming at point-of-care antibiotics level measurement from whole blood and utilizing this data for automated dose control...

• Development and Implementation of Infrastructure-as-Code (IaC) Solutions (e.g., Terraform, Ansible).
• Automation of Recurring Tasks such as deployments, scaling, and troubleshooting.
• Building and Maintaining CI/CD Pipelines for fast and secure software delivery.

• Conceptual and technical development of the existing knowledge organisation system
• Modelling and processing of knowledge bases for generative AI applications
• Data cleaning, transformation, and modelling

Your 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 enhancement of...

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability

You will gain valuable expertise in automating and optimizing processes, along with practical experience in cross-functional projects, particularly in automation through image processing...

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Portfolio monitoring and supervision;
• Observation of financial markets;
• Interaction with German- and English-speaking clients in investment committee meetings, etc.;
• Taking investment decisions for dedicated mandates;

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent