Backend Engineer

• Design, develop, and deploy backend services and features using Ruby on Rails
• Own well-scoped backend work end-to-end
• Design and architect scalable systems and databases
• Collaborate with product managers, front-end engineers, and stakeholders to translate requirements into tested code
• Implement core platform features with attention to performance, reliability, and maintainability
• Leverage and extend AI tooling to accelerate backend delivery
• Participate in code reviews and provide constructive feedback
• Mentor peers
• Build automated test coverage and maintain CI/CD pipelines
• Troubleshoot and debug production issues
• Own and contribute to integrations with pharmaceutical partners, hubs, and pharmacies

Senior Software Engineer, Backend

• Develop and document detailed technical specifications for assigned SAP Commerce Cloud components and integrations
• Lead development team scrum sessions
• Conduct code reviews for the development team
• Work with Solution Architects, Project Managers, and other Developers to estimate level of effort for assigned work packages
• Develop, customize, and debug SAP Commerce Cloud components and extensions using Java, Spring, and related technologies
• Create data models for products, catalogs, storefronts, customers, orders, and more
• Manipulate product, inventory, and customer data into formats suitable for SAP Commerce Cloud loading
• Configure one-time or recurring data imports
• Provide status reports and escalate issues to the Project Manager and Solution Architect
• Deliver high-quality SAP Commerce Cloud components and integrations on time
• Lead, coach, and mentor team members

Senior Technical Architect – SAP Commerce Cloud

• Serve as technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization
• Define, architect, and evolve Avery Dennison's enterprise 10-Layer Data & AI Operating System
• Lead the transition from legacy ETL pipelines to high-code Platform Engineering using GitOps, Data-as-Code, declarative management, and automated metadata control planes
• Own the global architecture blueprint and technology decision trees for enterprise analytical and AI platforms across OCI, GCP, and Azure
• Architect and deploy the centralized Metadata Control Plane and automated Data Catalog
• Coordinate schema tracking, lineage graphs, data quality observability, GitOps methodologies, reusable developer toolboxes, and context-as-code for LLM reasoning
• Design and govern enterprise AI infrastructure standards for Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines
• Support corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms
• Design and enforce the Universal Security Model with ABAC, fine-grained masking, and Okta/Active Directory integration
• Implement SRE-style observability for platform health, latency, query performance, and compute costs
• Lead the Data Platform Engineering squad
• Guide and mentor technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering
• Partner with HR on technical career progression tracks and competency matrices

Backend Engineer jobs in Ohio

Senior Software Engineer, Backend

Senior Technical Architect – SAP Commerce Cloud

Principal Enterprise Data Platform Architect