$120K - 145K a year
Design and deliver scalable data architecture, build front-end and back-end applications, implement APIs and cloud-native solutions, and support global business intelligence platforms.
8-10 years of software engineering experience with advanced SQL, Python, full-stack development, OpenStack, container orchestration, and cloud technologies, plus a bachelor's in computer science or related field.
Purpose Dole Packaged Foods is a purpose led organization that is a champion of accessible fruit nutrition and builds a brighter future for people through the goodness of fruit. At Dole, our culture is uniquely driven by core Values. Our commitment to these Values transforms our work into a meaningful journey toward a brighter future together. Here, you'll be part of a respectful, inclusive culture that deeply values our colleagues, customers, and global communities. We strive for excellence, empowering each other to confidently overcome challenges, continuously learn, and achieve world-class results. Guided by unwavering integrity, our actions consistently reflect our commitment to always doing what's right, fostering lasting trust and strong relationships. Through a spirit of collaboration, we cultivate positivity, generosity, and genuine teamwork, enabling collective success toward our One Dole Purpose. Our innovative spirit leads directly to meaningful outcomes and business success. The Sr Product Engineer will provide application support for North America and Europe while driving governance and stewardship of the company’s global Business Intelligence platforms. We are seeking a platform-agnostic engineer who can move seamlessly from analytics development (advanced SQL, Python, data modeling) to full-stack application delivery (APIs, services, and front-end UIs) and cloud-native deployment on OpenStack. The role designs scalable data architecture, builds insightful visual analytics with modern tooling, and orchestrates resilient pipelines across diverse sources favoring simple, maintainable solutions that avoid technology debt and can be executed on any platform or technology required to deliver business value globally. This engineer will think innovatively and constantly be seeking to challenge and improve the Data Intelligence and Analytics process and be part of the larger Business Intelligence group delivering critical business solutions across the enterprise covering Finance, Supply Chain, CRM, Manufacturing, Marketing, etc. This position requires a person that has a mindset of continuous integration and continuous delivery to meet the needs of the large global corporation. This role is defined as “Locally Remote.” Locally Remote employees must be located within a reasonable commute of our Westlake Village, CA office and able to come to the office in-person as needed with 24-hour advanced notice (no travel reimbursement). Responsibilities Primary Accountabilities: • User Experience & Front-End Engineering: • Translate product requirements and Figma/wireframes into accessible, responsive interfaces. • Build modern SPAs and SSR apps with React/TypeScript (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. • Back-End & API Engineering: • Design and implement REST/GraphQL services in Node.js/TypeScript (Express/NestJS) or Python (FastAPI), with clean layering and OpenAPI/JSON Schema contracts. • Build robust data access layers for PostgreSQL/HANA/Snowflake/Big Query; use Prisma/Knex or SQL Alchemy where appropriate. • Apply caching (Redis), async/event patterns (Kafka/RabbitMQ), 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). • Applied AI: • 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. • SAP Business Technology Platform: • Build and operate services on SAP BTP using Cloud Foundry and Kyma. • Use SAP CAP (Node.js/Java) 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. Use BTP Object Store where appropriate and integrate cleanly with SAP Datasphere for governed analytics. • Other duties as assigned Qualifications Experience, Knowledge, & Skills You Bring: • 8 - 10 years building production systems spanning data and application layers. • Advanced SQL across at least one enterprise RDBMS (e.g., HANA, PostgreSQL, SQL Server, Snowflake, Big Query/Redshift). • Professional Python experience for data processing, services, or automation. • Proven full stack chops: modern front end (React/TypeScript or equivalent) and back end APIs (Node.js/TypeScript or Python). • Practical OpenStack experience (developing against its services or deploying/running apps on OpenStack 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/RabbitMQ), caching (Redis), and 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. • Experience across ERP/BI ecosystems (SAP, Snowflake, Databricks, etc.). What You’ll Need to Succeed: • Passionate about a purpose driven career • Passionate about collaborating respectfully in diverse and inclusive team environments • Proactively seeks feedback and continuously improves work quality • Consistently adheres to ethical standards and maintains transparency • Actively contributes to achieving collective team goals Education & Certification: Travel Requirements: • Bachelor’s degree in Computer Science or related field required • Relevant certifications are a plus (e.g., OpenStack Foundation, Kubernetes, cloud provider certs, etc.). Physical Requirements: • Ability to sit and use the computer for extended periods of time; ability to answer phones and use a variety of office equipment; ability to lift 15 pounds and reach overhead. • Approximately 10% of travel required to various manufacturing and office locations, warehouses, etc., domestic and international. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. For Jobs Based In California Hiring Pay Scale: $120,000 to $145,000 Dole Packaged Foods is committed to paying our Associates fairly and equitably. The pay rate offered will consider a wide range of factors, including but not limited to experience, education, accomplishments, and location. Pay scales are subject to review on a regular basis and will be updated as appropriate.
This job posting was last updated on 10/18/2025