• Own product features end-to-end, from problem definition and architecture to deployment, monitoring, and continuous improvement • Build AI-driven product experiences and integrate modern AI tools into the engineering workflow • Collaborate cross-functionally with product, design, engineering, and business stakeholders to deliver impactful solutions • Contribute across the stack, including frontend, backend, APIs, integrations, and cloud-based services • Represent the company in technical and commercial discussions with clients, partners, and stakeholders • Drive technical discovery sessions, solution design, and architecture discussions • Mentor and upskill engineering teams on AI-assisted development practices and modern engineering workflows • Optimize applications for performance, scalability, maintainability, and user experience • Write clean, maintainable, well-tested, and well-documented code • Stay up to date with emerging technologies, AI trends, and modern software engineering practices

• Develop and maintain high-quality C# code across our microservices ecosystem • Implement complex business logic for a large company in the food industry • Manage your own priorities and performance to deliver high-quality, high-performance solutions • Document your work and contribute to continuous integration/continuous delivery (CI/CD) processes • Develop APIs to facilitate communication between our microservices • Implement messaging patterns for asynchronous communication between services • Integrate with external systems and databases while maintaining system integrity • Ensure proper error handling and resilience in service communications • Write comprehensive unit and integration tests for C# components • Conduct code reviews to maintain code quality and architectural integrity • Troubleshoot and resolve complex technical issues across the service ecosystem • Mentor junior developers in C# best practices and design patterns • Contribute to technical decision-making and architectural discussions

• Define the portal's reference architecture (frontend, backend, authentication, integration, observability) • Align API contracts with the integration layer (OpenAPI, versioning, error model, idempotence) • Define resilience for dependencies (timeouts, retries, fallback/degradation) • Establish engineering standards (repos, CI/CD, code review, quality gates, Definition of Done) • Guide performance/SEO decisions (SSR/SSG in Next.js, caching, CDN) • Coordinate with Salesforce replatforming for system-of-record, critical workflows, and coexistence strategy

• Implement the portal's UI (landing and journeys) using reusable components • Implement a Python backend for business logic and API integration • Consume governed APIs and robustly handle state and errors • Integrate authentication and authorization (tokens, sessions, and roles) according to CIAM standards • Create tests (unit, integration, and basic end-to-end) and support stabilization