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• Designing, implementing, and managing Azure cloud infrastructure to support Databricks and data platform workloads
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• Aktív részvétel a tervezésben, a specifikációk finomításában
• Fejlesztési feladatok megvalósítása
• Code review
• Automatikus tesztelés
• CI/CD folyamatok karbantartása (GitLab)
• Monitorozás és riasztások kezelése
• Az alkalmazás karbantartása Kubernetes környezetben
• Junior fejlesztők mentorálása

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

• Leading the design, development, testing, and deployment of enterprise software solutions
• Driving the full software development lifecycle, from requirements gathering to production support
• Building and enhancing automated testing frameworks to improve software quality and release speed

Working directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines

• Keeping contact and cooperating with teams located in Hungary and in Germany
• Ensuring smooth and intense communication with colleagues and partners
• Writing software design documents
• Working with stakeholders for review and approval
• Designing new functionalities
• Implementing new functionalities

• Leading the optimisation and continuous improvement of Dynamics 365 Sales
• Gathering requirements and translating business needs into effective solutions
• Facilitating workshops and collaborating with stakeholders at all levels
• Designing and implementing scalable processes, workflows and automations

• Designing, developing, and implementing scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components (LWC) and Aura Components

• Developing and maintaining modern Angular-based applications, with a focus on Angular 22
• Collaborating closely with cross-functional teams in an Agile development environment
• Taking ownership of application quality, performance, and maintainability

• Developing and maintaining modern Angular-based applications, with a focus on Angular 22
• Collaborating closely with cross-functional teams in an Agile development environment
• Taking ownership of application quality, performance, and maintainability

• Develop agentic AI applications from refined business and technical requirements.
• Implement agent workflows, prompts, model integrations, memory, RAG, tool calling, security controls, and human-in-the-loop steps.

• Designing, developing, and implementing complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Designing, building, and optimizing modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Owning the architecture and delivery of production-grade LLM systems and classical ML solutions
• Designing, evaluating, and optimizing RAG pipelines (retrieval strategy, chunking, indexing, monitoring)

• Contributing to the design, development, and deployment of robust development tools and scalable infrastructure that support the engineering lifecycle
• Acting as a bridge between stakeholders and the engineering team, translating business requirements into technical specifications

• Developing native Swift/iOS applications
• Designing user interfaces and functions as planned
• Taking part in requirements gathering, project and technical planning
• Writing Unit and UI tests, participating in developer testing
• Continuous learning

• 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