Python állások, munkák középiskolai végzettséggel

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• 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

• Development of the test automation framework
• Development of test cases/steps
• Development of test tools
• Integration of testing tools into the automation framework

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Experience in different data science topics including machine learning, LLM, deep learning
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks

• Design and implement cloud security controls across AWS, Azure, and GCP
• Build security automation using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Develop automated compliance checks and remediation workflows

• Development and fine-tuning of AI models including LLMs, Agentic AI, and Generative AI systems
• Building and deploying robust AI applications and services on cloud platforms
• Design and implementation of efficient AI pipelines from data preparation to model deployment and monitoring

Contribute to our Text Analytics and Generative AI projects - from data preparation and analysis through model and prompt evaluation to the development of new features....

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Take ownershipof the pricing tool used by the commercial department
• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Integrációs megoldások tervezése és dokumentálása a legjobb gyakorlatok és vállalati irányelvek mentén
• Integrációs elvek és stratégiák formálása és fenntartása az Integration Architect csapattal együttműködve

• Development of next-generation embedded Android/Linux platforms for advanced professional products
• Work on sophisticated control systems, digital media, and unified communications solutions
• BSP development, platform integration, optimization, debugging, and system-level problem solving

• Cloud infrastruktúra kiépítése és üzemeltetése T Cloud Public környezetben OpenTofu/Ansible keretrendszerrel
• Keretrendszer továbbfejlesztése új modulok és role-ok készítésével, fejlesztési javaslatok megvalósítása
• Kubernetes (CCE) környezetek üzemeltetése Helm, Ingress és Load Balancer komponensekkel

• Building AI-assisted development workflows
• Testing AI-assisted development workflows
• Maintaining AI-assisted development workflows
• Implementing workflow utilities
• Implementing prompt packs
• Implementing repository analysis scripts
• Implementing documentation helpers
• Implementing integration adapters

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration