Programozó állások XXIII. kerületben középiskolai végzettséggel

Munkakörhöz tartozó feladatok ellátása. ...

Design, implement, and maintain cloud-native infrastructure on AWS or Azure Manage and optimize Kubernetes clusters and containerized applications Build and maintain Infrastructure as Code using Terraform Deploy and manage applications using Helm Charts Develop automation scripts and tools in...

End-to-end AI solution ownership from problem definition through prototype validation and production support Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives Independent planning and execution of research,...

Design and implement agent-to-agent communication patterns and multi-agent collaboration workflows Integrate LLMs, RAG pipelines, and external APIs/tools into end-to-end agent systems Develop, test, and iterate on orchestration logic including routing, planning, tool selection, error handling, and...

Assisting with latest projects Working with source code Applying development processes Attending online brainstorming sessions Learning best practices and key technologies...

CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása Deployment és release folyamatok automatizálása Cloud infrastruktúrák üzemeltetése és optimalizálása Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift) Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése...

Managing complex database systems within a global technology ecosystem Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems...

Performing tasks related to the position....

Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform Collaboration with the Architect in design discussions and proposals Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Integration of data ingestion, processing,...

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement batch and...

SystemVerilog RTL verification and debug Formal bring-up of non-trivial IP blocks to achieve required quality levels Collaboration with engineers across design, performance modelling, validation, and implementation to meet functional requirements, performance, power and area goals...

Cooperation with software teams to establish and implement quality processes at every stage of the development cycle Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications Driving improvement at every step of the...

Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation Agent...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...