E learning állások XXII. kerületben (it programozás, fejlesztés)

• Assistance in S/4HANA transformation projects
• Development of software solutions, architectures, and transformation scenarios related to SAP
• Support of SAP data migration tasks
• Provision of technical advice and support to customers during migrations

• Leading a team of Reward Analysts covering the Compensation area
• Driving and collaborating on technical improvements and innovation
• Configuration of the Workday Job Catalog, eligibility rules, grades, grade profiles, bonus plans, allowances

• Partnership with Canvas Product and Engineering leaders to set overall strategy for platform experience for Admins and Educators
• Leveraging AI and emerging technologies to create innovative and intuitive product design experiences
• Overseeing a team of designers focusing on the Canvas product space

• Business consulting and stakeholder management
• Solution design and AI orchestration
• Functional specifications and directives documentation
• Test execution and quality assurance
• Issue solving and automated triage
• Risk mitigation and human context consideration

• Shaping transformations in S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios
• Executing SAP data migrations and guiding colleagues throughout the process

• Joining junior team assisting with latest projects
• Learning skillset necessary to contribute including working with source code and applying development processes
• Attending online brainstorming sessions regularly
• Learning best practices and key technologies to quickly become productive

• Shaping the vision and strategy for AI-powered insights and analytics across Canvas and the broader Instructure ecosystem
• Owning and leading key areas of the roadmap spanning curated, action-oriented insights and self-service, conversational analytics experiences

• 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

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• SAP IS-U solution support for core utility business processes
• Learning functional and technical tasks including functional analysis, SAP IS-U customizing, testing, documentation, and ABAP-based development

• 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

• Design, build, and ship production retrieval systems
• Own vector store selection and operation
• Build and operate indexing and refresh pipelines
• Implement semantic and hybrid retrieval
• Own retrieval evaluation as a first-class system
• Make and defend the core tradeoffs of the domain

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

Architect, build, and operate scalable inference services, APIs, and backend components for model-driven and LLM-powered product features...

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• On-time and accurate reporting of Key Performance Indicators (KPIs) on a monthly basis
• Support of SSC teams with daily, weekly, and monthly reporting activities
• Implementation of additional KPIs in collaboration with stakeholders

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Contact person for compensation-related questions regarding tariff and AT+ (above-tariff plus) structures in Germany
• Review of non-tariff promotions, mass uploads, shift allowances, and compensation-related changes

• Development and elaboration of functional concepts including creation of functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams