Platform engineer állások Budapesten (it programozás, fejlesztés)

• Data engineering csapat vezetése és mentorálása, a szakmai fejlődés, felelősségvállalás és önállóság erősítésével
• End-to-end data pipeline architektúra tervezése és felügyelete az adat beérkezésétől a végső felhasználásig, biztosítva a skálázhatóságot, megbízhatóságot és teljesítményt

• 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.

Automatizmusok és rendszerek dolgoznak a háttérben, de az irányt mi adjuk meg: rajtunk múlik, hogyan tervezzük, fejlesztjük és „tanítjuk” őket egy biztonságos, szabályozott környezetben....

Mi lesz a feladatod? •Az Archicad alacsony szintű rétegeinek fejlesztése és karbantartása Windows és macOS platformokon •A termék licenszelési és jogosultságkezelési rétegének fejlesztése, beleértve a cloud alapú megoldásokat •Hálózati kommunikációval kapcsolatos kliens oldali fejlesztések •A...

• 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

• Learn devops principles
• Design and implement CI/CD pipelines
• Work with Ansible, Docker and Kubernetes and various PaaS solutions
• Study large scale, cloud native software architectures
• Gain experience working in agile DevOps methodology
• Gain experience working at a fast-growing, truly colourful company

• 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.

• 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.

• Learn QA/testing principles
• Design and implement automation end to end tests
• Work with Playwright or similar testing frameworks
• Learn large scale, cloud native software architectures
• Work in agile development methodology
• Gain experience working at a fast-growing, truly colourful company

• Lead enterprise and solution architecture across complex, multi-stakeholder environments, from greenfield platforms to legacy transformation
• Define and own API strategy, governance frameworks, and integration patterns at organisational level

• 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

• Backend alkalmazások fejlesztése Java és Spring alapokon.
• Frontend fejlesztés és támogatás Angular környezetben.
• Meglévő rendszerek modernizálása és egységes technológiai stackre történő átállás támogatása.
• REST alapú integrációk fejlesztése és karbantartása.

Design, build, and maintain backend services and data pipelines using Java Implement and evolve event-driven architectures to handle high-volume, real-time data streams Deploy and operate cloud-native services on AWS, ensuring scalability and reliability in production Define and maintain API...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

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...

Engineering and maintenance of Cloudera Private Cloud Platform infrastructure Development and support of Cloudera Public Cloud Platform environments Working with native private cloud technologies including Docker/Podman, Kubernetes, and OpenShift Implementation and management of OpenSource data...

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...

Build And Operate Multi-Cluster Containerized Environments Across Cloud Platforms Create End-To-End CI/CD Pipelines For Cloud-Native Applications And Machine Learning Workloads Lead Cost-Optimization And FinOps Initiatives For GPU, Storage And Data-Egress Spend...