Python állások IV. kerületben középiskolai végzettséggel

• Engineering, operating, and continuously improving a Juniper-based Hybrid WAN platform built on a modern Spine-Leaf architecture
• Design of new connectivity between enterprise data centers, customer environments, and public cloud platforms

• Automatizált UI és end-to-end tesztek fejlesztése, karbantartása és stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése (pl. Playwright, Selenium, Cypress)
• Tesztek integrálása CI/CD folyamatokba

Support Meridian technical due diligence and transition readiness by using AI-assisted software engineering methods to understand OpenStack-derived cloud services...

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása

• Collaboration with cross-functional teams to create user-centered designs
• Design of intuitive and visually appealing interfaces for web and mobile applications
• Conducting user research, competitive analysis, and usability testing
• Creation of wireframes, prototypes, and high-fidelity mockups

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms

• Learning from senior team members
• Participating in security penetration testing projects including application-level penetration testing (e.g., web application, Android, or iOS Mobile application)
• Participating in infrastructure level security penetration testing
• Participating in Red Teaming

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Alkalmazások üzemeltetése és továbbfejlesztése virtualizált szerverkörnyezetben
• Komplex rendszerkörnyezet adminisztrációja és optimalizálása (elsősorban Linux, kiegészítve Microsoft technológiákkal)
• Alkalmazások biztonságos és hatékony éles környezetbe juttatása

• Operational reliability, performance and resilience ownership of the Global Fabric NaaS platform
• Support and troubleshooting of microservices, APIs and integrations across the NaaS ecosystem

• Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments
• Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments

Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance...

• Design and implementation of new projects and solutions
• Installation, configuration and maintenance of Linux servers
• Installation, configuration and maintenance of cloud resources on AWS, Google Cloud, Azure
• Provision and updating of infrastructure documentation

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Preparing journey to containerization
• Improving delivery via cloud deployment
• Increasing scalability of systems
• Maintaining high quality of systems
• Re-evaluating systems design
• Working on new features
• Supporting development teams (Backend and Frontend focused)
• Enhancing CI/CD pipelines

• Execution of the implementation of the strategy, development, and operational excellence of CI/CD platforms and Internal Developer Portals (IDPs)
• Ensuring engineering teams have reliable, scalable, and efficient infrastructure

• Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL
• Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery
• Implementation and configuration of pipeline orchestration using Airflow, Dagster, or Prefect

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

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

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including full-stack, AI, and data