Sr. Integrations Engineer, Supply Chain Technology
OpenAI
- Pay
- $272k–$302k
- Workplace
- Hybrid
- Location
- San Francisco · California · United States
- First seen
- 12 hours ago
- Last seen
- 4 hours ago
- Board
- Ashby
Summary
About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations.
- python
Posting
About the Team The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves. About the Role As a Senior Integrations Engineer, you will design, build, and operate the integrations and custom applications that connect OpenAI’s supply chain ecosystem. You will combine integration platforms, Python development, and APIs to deliver reliable data flows across enterprise systems, internal applications, and external partners. You will partner closely with Hardware Operations, Application Engineers, Product Managers, IT, and business teams to improve data integrity, automate operational workflows, and support the transition from legacy systems to modern cloud platforms. This is a hands-on engineering role with ownership across architecture, implementation, deployment, and ongoing production support. IN THIS ROLE, YOU WILL - Define integration architecture and reusable design patterns across the supply chain technology landscape, balancing reliability, security, maintainability, and delivery speed. - Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, third-party logistics providers (3PLs), contract manufacturers (CMs), retailers, and distributors. - Develop workflows, APIs, event-driven services, and batch and file interfaces, choosing the appropriate combination of platform capabilities and custom code. - Build production Python applications, integration services, reusable connectors, and operational tools with automated tests and maintainable interfaces. - Implement API and EDI partner integrations, including data mappings, partner onboarding, end-to-end testing, and transaction reconciliation. - Develop Model Context Protocol (MCP) servers, tools, and plugins that connect AI-enabled applications to supply chain systems, with appropriate authorization, validation, audit trails, and transaction approvals. - Own production reliability through monitoring, alerting, incident response, and recovery. Diagnose and resolve data synchronization errors, API fai