Python programmer állások XI. kerületben (it programozás, fejlesztés)

• Ownership of backend services throughout their lifecycle including design, implementation, testing, deployment, operation, and continuous improvement
• Translation of product and business requirements into maintainable technical designs with clear communication of risks and trade-offs

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification (design) documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• Tesztmenedzsment feladatok vezetése a teljes tesztfolyamat szakmai kísérésével az igényfelméréstől a riportolásig
• Követelményanalízis fejlesztőkkel, üzemeltetőkkel és más érintettekkel közösen
• Tesztstratégiák tervezése és tesztelési lépések meghatározása és követése

• 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

• Implementing and improving business objects for mobile network infrastructure in backend systems up to the API layer
• Providing a consistent and scalable data foundation for internal systems
• Developing and maintaining business objects including data models, backend logic, and APIs

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• 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

• Development and enhancement of T Cloud Public platform in a customer-oriented manner
• Operation of the built cloud platform
• Solving complex problems in the daily operation of a hyper-scaler's cloud backend
• Building tools to reduce occurrence of errors and improve customer experience

Vizualizáció és döntéstámogatás: Interaktív Dashboardok és riportok készítése, ahol a vezetők valós időben követhetik a cég fő mutatóit, amelyek közvetlenül támogatják a döntéshozatalt. A keletkező nagy mennyiségű adat tisztítása, rendszerezése, értelmes, emészthető és számszerűsíthető...

Ownership of detection capabilities from idea to customer impact across the AI/ML detection portfolio including threat similarity search, URL reputation, image-based phishing and brand-spoofing detection, web threat classification, and content classification...

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Design, implement, and maintain scalable and reliable cloud infrastructure on AWS. 
• Develop and maintain Infrastructure as Code using Terraform. 
• Automate infrastructure provisioning, configuration management, and operational workflows. 

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings
• Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components

• Measuring performance of multi-channel patient recruitment campaigns across clinical trial portfolios
• Optimizing performance of multi-channel patient recruitment campaigns across clinical trial portfolios

• Building and maintaining dataset ingestion, cleaning, and versioning pipelines
• Designing and operating labeling workflows including quality control and inter-annotator agreement tracking
• Owning dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• 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

• 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