Aws engineer állások, munkák Budapesten

• 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

• Design, build, and maintain reliable CI/CD pipelines using tools such as Jenkins or GitLab CI
• Support containerization efforts and manage orchestration environments using Docker and Kubernetes
• Assist in operating and optimizing cloud infrastructure across AWS, Azure, or Google Cloud

• A rendszer megbízhatóságának és stabilitásának növelése
• Production hibák diagnosztizálása és megoldása (edge + AWS)
• Monitoring, logolás és riasztási rendszerek fejlesztése
• Deployment és frissítési folyamatok fejlesztése Linux környezetben
• Automatizáció fejlesztése (Docker, Ansible, scripting)

• 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, 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

• 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.

• AI-Native Infrastructure: Modern, GPU-intenzív AI/ML keretrendszerek szoftveres alapjainak megtervezése és kiépítése.
• Deep Containerization: Komplex Docker image-ek faragása, kifejezetten GPU-kompatibilis, AI workload-specifikus erőforráskezelésre (NVIDIA-docker, CUDA optimalizáció).

Virtualizáció (VMware): A teljes VMware vSphere környezet (ESXi, vCenter) adminisztrációja, teljesítmény-optimalizálása és életciklus-menedzsmentje....

• 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

• Design, implement, and strengthen security protection for IT cloud platforms, ensuring security at both infrastructure and application layers
• Participate in regular red-team/blue-team exercises, identify system vulnerabilities and security weaknesses, and propose remediation plans

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• Container Platform Management: Designing, building, and supporting Kubernetes-based platforms (including microservice architectures).
• CI/CD & Release Management: Planning and implementing end-to-end CI/CD processes and release cycles using GitLab and other modern tools.

Az identity layer működtetése és védelme - biztosítod, hogy a megfelelő emberek a megfelelő hozzáférést kapják, és megelőzöd a credential‑alapú támadásokat,...

Drive designing and building AWS infrastructure and landing zones Define AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and build CI/CD pipelines Lead migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS Review and...

Design, code, review, and test assigned features and user stories in alignment with Diligent’s agile development methodology, leveraging AI tools where appropriate to enhance development efficiency. Produce high-level technical design artifacts for major stories, incorporating insights and...

Design, implement, review, and test features in an Agile environment Contribute to system architecture and shape the future-state design of the platform Build and optimize scalable data processing solutions Develop and integrate AI/ML capabilities into data workflows Prototype and validate backend...

Design and own secure, scalable services, guiding technical decisions and evaluating trade-offs (including AI-driven components) to meet reliability, performance, and cost goals. Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to...

Set technical direction across teams, driving ai-native and cloud-native architecture and long-term system evolution Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost Influence AI adoption through AI first solution design, model guidance,...

Create robust, scalable, and secure microservices that power our SaaS platform for governance Leverage AWS (serverless or migrations) with TypeScript Own services end-to-end (code, deployment, monitoring) Drive architecture discussions Regularly demo to the department Shape AI strategy by leading...