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• Ownership and independent delivery of well-defined stories with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• Development of a robust framework for generating and distributing work across all operations
• Creation of tools and frameworks to empower teams to design specific workflows
• Establishment of a comprehensive reference for a 360-degree view of customer data

• Működő kapcsolatok és API kulcsok konfigurálása a Kimai API, Slack Bot és
• Google Drive integrációkhoz.
• 5 tesztelt és dokumentált n8n al-munkafolyamat elkészítése (pl. adatgyűjtő, adatvalidáló, PDF generáló, Drive feltöltő és Slack jóváhagyáskérő modulok).

• Building and maintaining strong relationships with a portfolio of clients
• Acting as a key point of contact for client requests, questions, and day-to-day communication
• Supporting client meetings, preparing follow-ups, and ensuring agreed actions are tracked and delivered

• Assistance in developing AI-powered workflows using large language models such as Claude, GPT, and related technologies
• Support for implementation, testing, and maintenance of workflow automation solutions

Tasks and responsibilities: ● Maintain and create Tableau dashboards ● Create views in database and updated table structure, apply backend table structure changes in the view layer ● Support database cleanup and impact analysis ● Collaborate with other functional areas, such as Engineering...

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

• Design of evaluation framework for scalable LLM-as-a-judge pipelines
• Development of rubrics and datasets including comprehensive grading rubrics and high-quality golden datasets
• Optimization of judge prompts for automated scoring alignment

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Ownership and continuous refinement of the product roadmap for a core part of Diligent’s governance, risk and compliance SaaS platform
• Independent ownership of end-to-end product strategy and roadmap for new Diligent business lines in AI, data analytics, and insights

• Owning and continuously refining the product roadmap using customer insight, data and market trends
• Defining and driving product strategy that aligns with Diligent’s vision for modern governance

• Preparation for containerization and cloud deployment
• Increasing scalability of systems
• Re-evaluation of systems design
• Development of new features
• Support of development teams (Backend and Frontend)
• Enhancement of CI/CD pipelines
• Improvement of monitoring and observability

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Manual and automated testing across iOS and Android platforms
• Collaboration with developers, designers, product owners, and fellow QA engineers
• Definition and refinement of test strategies for new functionality and release cycles

• Facilitation of discovery workshops with German-speaking clients to capture pricing and promotions requirements
• Documentation of business and technical specifications based on workshop outcomes
• Translation of business needs into functional configuration requirements for the solution team

• Configuration of the P&P platform end to end, across both frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go where standard configuration isn’t enough

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations