• Take ownership and share accountability for the solutions and technical direction within the Merchant Experience pillar. • Be responsible for architecture and technical decisions, reviewing and helping teams prepare architectural and design documentation to ensure the work fits into the broader platform strategy and defined practices. • Contribute to engineering-wide strategy and standards through participation in the Architecture Council. • Guide development teams through implementation by providing POCs, explaining design details, and solving design issues. • Investigate and solve a variety of architecture-related problems, such as performance, scalability, integration, and others. • Mentor and train other team members on design techniques and coding standards, actively scaling your technical influence and guidance across multiple development teams. • Working closely with fellow architects and engineers to create cohesive architecture practices and guardrails, whilst driving the adoption of these practices/standards across the teams. • Act as the Domain-Driven Design and architectural best practices authority within the pillar, actively mentoring and educating engineering teams to drive consistent and high-quality solution development.

• Ensure the technical and functional quality of product deliveries • Participate in the planning, execution and automation of functional, regression and exploratory tests • Validate integrations between APIs and microservices, ensuring test coverage and traceability of tests • Create and maintain backend automation scripts integrated into the CI/CD pipeline • Support the development team in identifying and preventing defects from early stages • Actively participate in code reviews and technical discussions focused on quality and performance • Conduct root cause analyses for recurring failures and propose improvement solutions • Support the evolution of quality and observability metrics (defects, coverage, execution time) • Collaborate with the team on prioritization and definition of acceptance criteria • Promote quality best practices and automated testing among team members

• Architect and build full stack data driven solutions • Work with cloud expertise including Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure • Collaborate in agile software development methodologies as part of a scrum team • Possibly take on multiple roles, such as Product Owner, Scrum Master, and Business Analyst • Participate in commercial implementations of tools like Cloudera, AWS Redis etc.

• Build and maintain an internal LLM gateway that handles routing, fallbacks, and rate limiting • Create reusable components for common AI patterns (RAG, function calling, streaming responses) • Develop SDKs or libraries that simplify AI integration for application developers • Implement prompt management systems and evaluation frameworks • Design and deploy vector database infrastructure for semantic search • Create monitoring dashboards for AI usage, costs, and performance metrics • Write technical documentation and best practice guides for AI implementation • Evaluate and integrate new AI services and models as they become available • Build testing frameworks for prompt regression and model output validation