Phd hr ci javascript jquery állások XII. kerületben (it programozás, fejlesztés)

• 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

• Taking part in the BAU development tasks
• Designing, implementing, and delivering high-quality software solutions that conform to architectural standards
• Optimizing and refactoring existing code for improved reliability and performance
• Understanding and reworking/improving the existing codebase

Designing and implementing enterprise-scale data pipelines and advanced analytics dashboards, including solutions powered by artificial intelligence-enabled analytics tools such as Microsoft Copilot Agents and Claude...

Designing and implementing AWS-native contact center and AI agent solutions based on Amazon Bedrock AgentCore and Amazon Connect from the initial concept through to stable production operations...

Designing, optimizing, and extending transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability...

• A szervezet Talent Management stratégiájának kialakítása és megvalósítása
• Talent Management toolok kialakításában és szervezeti szintű bevezetésében szerzett gyakorlati tapasztalat alkalmazása

• 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.

• Identifying process improvements for the team
• Managing all system administration related tasks to ensure smooth operation of supported systems, including more complex tasks

• Executing system data maintenance and administrative activities in Cornerstone and all relevant Learning management systems
• Providing all necessary non-systems related Learning process support

• 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

Developing and implementing complex generative AI applications from discovery to deployment, realizing strategic, tactical, and operational impact...

• 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

• Building and maintaining scalable cloud infrastructures using modern services and best practices
• Proactively detecting, analyzing, and fixing vulnerabilities and performance bottlenecks in cloud environments

Architecting and implementing scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents)...

• 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