Python developer állások V. kerületben (it programozás, fejlesztés)

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• AI/LLM alapú alkalmazások tervezése és fejlesztése Python környezetben.
• Generatív AI megoldások integrálása és skálázása vállalati környezetben.
• AWS alapú AI szolgáltatások kialakítása és fejlesztése.
• 2–3 fős fejlesztői csapat szakmai vezetése és mentorálása.

• Design, build, and maintain scalable data pipelines using Python, SQL, and cloud-native data services.
• Develop and manage data transformation workflows with dbt and Apache Airflow.
• Build and optimize batch and streaming data processing solutions using distributed frameworks and messaging platforms.

• The CloudOps Engineer is responsible for availability for cloud platforms
• Respond, troubleshoot and resolve production alarms
• Communicate and troubleshoot operational issues supporting a complex environment
• Respond to cloud service outages and manage incident tickets

• Providing technical assistance and guidance to Wise's data engineering and machine learning community
• Taking ownership of difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

• Designing OpenStack-based network services on the T Cloud Public platform
• Operating OpenStack-based network services on the T Cloud Public platform
• Further developing OpenStack-based network services on the T Cloud Public platform
• Planning automation initiatives using modern frameworks

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• Development and operation of Keycloak/RHSSO-based IAM capabilities on Kubernetes
• Standardization of deployment, configuration, and troubleshooting practices
• Continuous improvement of reliability, security, and automation around the IAM platform

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Development and enhancement of T Cloud Public platform in a customer-oriented manner
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Design of complex and scalable data solutions on the AWS cloud platform
• Development and implementation of complex and scalable data solutions on the AWS cloud platform
• Design and optimization of data pipelines
• Writing clean, efficient and maintainable SQL and Python code

• AI-eszközök bevezetésében, integrációjában és üzleti környezetbe történő beágyazásában való aktív közreműködés
• Üzleti igények feltérképezése, valamint AI use case-ek üzleti és technológiai megvalósíthatóságának értékelése

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

Performing tasks related to the position....

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Architecture of cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design of end-to-end web solutions from frontend to backend
• Implementation of RAG pipelines, model serving, and AI agents in production
• Leadership of cross-functional teams (Full-stack, AI, Data)