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• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Design, build, and operate the firm’s AI platform including shared services, APIs, SDKs, and tooling
• Drive architecture across scalability, reliability, security, developer experience, and cost

• Lead and cultivate engineering talent
• Provide hands-on technical leadership
• Own and drive the technical vision
• Master stakeholder relationships
• Champion Agile and technical excellence

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic connecting customers to automation solutions

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

• 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

• 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

• 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, 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

• 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

• Preparing journey to containerization
• Improving delivery via cloud deployment
• Increasing scalability of systems
• Maintaining high quality of systems
• Re-evaluating systems design
• Working on new features
• Supporting development teams (Backend and Frontend focused)
• Enhancing CI/CD pipelines

• Manual testing across iOS and Android platforms
• 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

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