Senior Product Engineer - Insights, Intelligence Innovation

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Dole Packaged Foods is a purpose‑led organization championing accessible fruit nutrition and building a brighter future through the goodness of fruit.

The Senior Product Engineer provides application support for North America and Europe while driving governance and stewardship of the company’s global Business Intelligence platforms. The role designs scalable data architecture, builds insightful visual analytics, and orchestrates resilient pipelines across diverse sources, favoring simple, maintainable solutions that can be executed on any platform required to deliver business value globally.

• Translate product requirements and Figma/wireframes into accessible, responsive interfaces.
• Build modern SPAs and SSR apps with React/Type Script (Next.js or Vite), applying design systems, design tokens, and component libraries (Tailwind, MUI, shadcn/ui).
• Manage state and data with Redux/Zustand and React Query; craft reusable form and chart components (React Hook Form, Recharts/ECharts/D3).
• Optimize for Core Web Vitals via code splitting, lazy loading, image/CDN strategies, and caching; support i18n and theming.
• Champion WCAG 2.2 AA accessibility; enforce UI quality via Storybook, Jest/RTL, and Playwright/Cypress.
• Explore cross platform surfaces when needed (PWA, React Native or Capacitor) while keeping a single design language.
• Design and implement REST/Graph
  
  QL services in Node.js/Type Script (Express/NestJS) or Python (FastAPI), with clean layering and OpenAPI/JSON Schema contracts.
• Build robust data access layers for Postgre
  
  SQL/HANA/Snowflake/Big Query; use Prisma/Knex or SQL Alchemy where appropriate.
• Apply caching (Redis), async/event patterns (Kafka/Rabbit
  
  MQ), and background jobs for scale and resilience.
• Implement AuthN/Z using OAuth2/OIDC and SSO/SAML; apply rate limiting, input validation, and multi‑tenant patterns.
• Instrument services with Open Telemetry (traces/metrics/logs), feature flags, and blue/green or canary deployments.
• Author high‑quality SQL for complex modeling, transformation, and performance tuning (window functions, CTEs, partitioning, indexing strategies).
• Ship practical AI assisted features using hosted APIs (OpenAI/Azure OpenAI, Vertex AI, Amazon Bedrock) for summarization, document Q&A, and simple classification/translation.
• Build basic retrieval flows with off‑the‑shelf embeddings and a vector store (pgvector/FAISS or managed options); understand chunking and metadata at a foundational level.
• Use prompt templates and grounding with approved enterprise context; add light guardrails (input/output validation, PII redaction, rate limiting).
• Evaluate usefulness via lightweight checks (spot checks, user feedback, simple A/B tests) and track cost/latency budgets.
• Build and operate services on SAP BTP using Cloud Foundry and Kyma.
• Use SAP CAP for domain‑driven microservices, SAP HANA Cloud with HDI containers for persistence, and secure apps with XSUAA and Destinations for outbound connectivity.
• Packaged and deploy as MTA artifacts; manage service bindings, routes, and environment variables via cf/kyma tooling.

• 8‑10 years building production systems spanning data and application layers.
• Advanced SQL across at least one enterprise RDBMS (e.g., HANA, Postgre
  
  SQL, SQL Server, Snowflake, Big Query/Redshift).
• Professional Python experience for data processing, services, or automation.
• Proven full‑stack chops: modern front end (React/Type Script or equivalent) and back‑end APIs (Node.js/Type Script or Python).
• Practical Open Stack experience (developing against its services or deploying/running apps on Open Stack clouds).
• Containers (Docker), orchestration (Kubernetes), source control (Git), CI/CD, observability (logs/metrics/traces).
• Strong fundamentals in data modeling, REST principles, performance, and testing.
• Preferred:
  Event streaming & async patterns (Kafka/Rabbit
  
  MQ), caching (Redis), message‑driven architectures.
• Experience with one or more clouds (AWS, Azure, GCP) and cloud‑native services.
• BI/visualization exposure (SAC, Tableau, Power BI) and semantic modeling.

• Passionate about a purpose‑driven career.
• Committed…