Tools engineer állások Budapesten (it programozás, fejlesztés)

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Writing and maintaining Python-based automated system and regression tests
• Expanding automated regression coverage and improving stability of test execution
• Evaluating daily automated test results and handling failures
• Owning and driving system-level testing activities within a Scrum team

• collaborating on the design and development of ML‑based applications and their backend components
• helping to select the most applicable solutions for a given business problem
• writing clean, efficient and well‑documented code
• contributing to our MLOps processes

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

• Define and execute test strategies across the full stack: backend APIs (FastAPI), frontend UIs, and agentic workflows.
• Define testing standards and frameworks that enable developers to own unit and integration test coverage, in line with a shift-left quality model.

• Design, develop, test features for S/4HANA Asset Management according and in compliance with SAP development guidelines, product standards and KPIs
• Adhere to SAP development standards, guidelines and best practices

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

• Build and maintain internal tooling and UIs — workflow dashboards, content review interfaces, and evaluation visualization.
• Develop backend APIs using Typescript and Node.js that integrate with the agentic workflow platform.

• Design, implement, and maintain data warehouse solutions
• Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity

• Design and build Agentic AI systems (planner/executor patterns, tool calling, memory strategies)
• Adapt and deploy LLMs, including fine-tuning and optimizing performance
• Implement and improve RAG (retrieval-augmented generation) pipelines

• Develop and operationalize solutions across classical AI/ML/DL and generative AI use cases
• Build, evaluate, and optimize machine learning and deep learning models for business applications
• Integrate data and AI services from APIs, third-party platforms, cloud services, and internal systems

Building and evolving CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets Designing controlled, reproducible test environments to distinguish real regressions from environmental noise Building synthetic workloads and targeted microbenchmarks for...

Backend Services Development, Optimisation, and Maintenance Using Java (Spring Boot) Design Decisions Contribution for New and Existing Projects Application Deployment and Scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System Observability Enhancement with Real-Time Monitoring and Logging Using...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...

Technical and business support for internal and external users of GSCF applications Quick resolution of application issues and leading technical discussions with clients and projects Collaboration with Product, DevOps, and Developers to investigate and resolve reported issues Participation in...

C-based application design, development and maintenance in Linux/UNIX environments System-level interface work with POSIX APIs, processes, file systems and sockets Kerberos authentication system development and enhancement Internal implementation maintenance and improvement of open-source...

Rapid prototyping of proof-of-concepts for next-generation sports tech R&D exploration of diverse, open-ended technical challenges Writing adaptable, efficient, robust, and multithreaded C++ applications Field testing new prototypes in real-world environments and supporting early-stage deployments...

Collaboration with cross-functional teams to design, implement, and maintain core system and tooling components Solving diverse technical challenges including hardware interfacing, network protocols, audio/video processing, and UI development Writing efficient, robust, and multithreaded C++...