Systemadministrator állások III. kerületben (programozó, fejlesztő)

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Defining and communicating architectural vision for the Cloud Management Portal aligned with product strategy and customer outcomes
• Making pragmatic architectural decisions balancing modern practices with delivery speed and customer value

• Development and enhancement of T Cloud Public platform
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Hardware-oriented work at the console
• Development and operation of monitoring and quality assurance
• Automation with common automation frameworks

• Design and write clean, scalable Python code
• Build and maintain APIs and data pipelines using FastAPI, SQLAlchemy, and Pandas
• Support and integrate machine-learning workflows into production systems
• Store, process, and optimize 2D, 3D, and GIS data at city scale

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management and Cloud-Native Application Protection Platform tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines including IaC scanning and policy-as-code

• Kapcsolattartás az ügyfelekkel, igények felmérése és tanácsadás
• Azure Function App fejlesztés
• Dokumentálás
• Programozás Pythonban
• Azure infrastruktúra tervezés és karbantartás
• Rendszeres ellenőrzés, frissítés és teljesítmény optimalizálás Azure környezetben
• Fejlesztések tervezésében aktív részvétel

• Delivery of AI-assisted handover and due diligence support with emphasis on automation, repeatability, evidence generation, and reusable workflow packaging
• Creation of repeatable AI-assisted workflows for assessment, documentation, and transition of a cloud software stack derived from OpenStack

Analysis of large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence...

• Learning from senior and medior developers through mentoring and structured knowledge-sharing
• Supporting daily development with simpler workflows, forms, and minor software updates including implementation and documentation

• 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

• Unterstützung des Teams bei der Automatisierung und dem Testen von Cisco SD-WAN basierten Netzwerktechnologien
• Entwicklung und Wartung automatisierter Testfälle mit Python und Robot Framework
• Nutzung von Jira für Aufgabenverfolgung
• Kommunikation über MS Teams

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• 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

• Build and design production features in Rails, TypeScript, and React
• Develop serverless/edge APIs and jobs on AWS
• Model data and ship performant Postgres queries
• Write with accessibility and testing in mind
• Participate in code reviews and CI/CD management

• Developing software solutions and ensuring operational stability within an agile project setup
• Coordinating in an agile environment with the involved business units
• Analyzing and processing requirement documents
• Direct coordination with business departments and internal engineering teams

• Development and support of backend applications
• Documentation and testing
• Connection and integration with external systems through APIs

• 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

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services