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• Implementation, configuration, and optimization of SAP eWM solutions in S/4HANA
• Driving global rollout activities including fit-to-standard workshops, template localization, testing, and deployment
• Collaboration with MM, SD, TM, and PP teams on end-to-end logistics flows

• Complex programming, testing and debugging functions related to the implementation of SAP modules
• Understanding requirements from provided functional designs and transforming them into technical designs
• Keeping contact with clients, functional teams, and designers

• End-to-end MES implementations
• Business process assessment
• Requirements gathering
• Solution design
• Configuration
• Development
• Testing
• Deployment
• Ongoing support
• Implementation of MES platforms
• Enhancement of MES platforms
• Integration of MES platforms
• Support of MES platforms

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• Design and own end-to-end solution architecture across distributed systems and cloud environments
• Translate business requirements into scalable technical solutions with clear articulation of trade-offs

• Full-cycle general ledger accounting in accordance with Hungarian accounting regulations
• Preparation of monthly, quarterly, and annual closings
• Supporting tax filings with accurate financial data
• Liaising with auditors and local authorities
• Reconciliation of general ledger and sub-ledgers

• Planning and overseeing all phases of projects including discovery, development, testing, deployment, and handover
• Managing scope, priorities, milestones, dependencies, resources, quality, timelines, and budgets
• Maintaining clear and timely communication with clients and internal teams

Performing tasks related to the position....

• Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures
• Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers

• Owning and continuously refining the product roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform
• Owning end-to-end product strategy and roadmap for new Diligent business lines in AI, data analytics, and insights

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

• Design, build, and deliver scalable full stack solutions using Angular, TypeScript, C#/.NET, and AWS
• Own features from concept through deployment, monitoring, support, and continuous improvement

• Design of behavioural telemetry including event and entity-state schemas and instrumentation specification
• Ownership of measurement standard including canonical definitions, naming, field ownership, and versioned change control

• Ownership and continuous improvement of the end-to-end sales operations process from quote creation through closed-won
• Identification and elimination of manual bottlenecks in the quote-to-cash process by designing and deploying intelligent automation and AI agents

• Development and fostering of partner relationships with portfolio of key accounts
• Conducting quarterly business reviews with partners to deepen relationships, review performance, and develop forward-looking strategies

• Administration, configuration, and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Networking to develop new sales opportunities in the academic field
• Sales of tailor made cutting-edge technology in the field of multiphoton microscopy
• Managing customer relationships
• Contacting research institutes abroad
• Giving oral presentations about products and solutions in front of large audiences

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM & federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes & container platforms

• Training and fine-tuning models against curated datasets
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements
• Packaging models with documentation, benchmarks, and reproducible evaluation results

• 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