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• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Revenue recognition accounting across subscription and transactional product streams in accordance with ASC 606
• Assessment of new and amended contracts and determination of appropriate accounting treatment

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Designing applications to meet business process and application requirements
• Building applications to meet business process and application requirements
• Configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Administration of assigned global payrolls for France, Switzerland, Australia and Saudi Arabia
• Liaison with external payroll providers for accurate and timely payroll data submission
• Review of payroll calculations for accuracy and compliance
• Coordination of payroll processing activities

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

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

Designing, implementing, and executing CI/CD strategies covering development, testing, release, update, and support processes for DevOps operations, across multiple projects including legacy software, cloud deployment and AI solutions...

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Processing, validating, approving, and posting purchase order and non-purchase order invoices
• Calculating and applying value-added tax, withholding tax, and other applicable tax requirements in accordance with local regulations

• Completion of tax returns due by jurisdiction deadlines
• Help in tax research, tax law and regulations to support client or supervisor

• Support month-end, quarter-end, and year-end close activities in accordance with U.S. Generally Accepted Accounting Principles (US GAAP)
• Prepare and submit US GAAP financial reporting in line with corporate requirements and deadlines

• Drive and govern the global Purchase‑to‑Pay (P2P) process, acting as SAP specialist and global P2P Key User.
• Support and co‑lead global SAP S/4HANA rollout activities in close collaboration with the global P2P and SAP teams.

• Processing General Ledger bookings and other local requests
• Clearing customer and General Ledger accounts
• Contributing to month-end closing tasks
• Providing help to other team members in need of assistance due to workload

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• 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

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure