Sr. Integrations Engineer, Supply Chain Technology

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 failures, and performance bottlenecks. - Embed access controls, segregation of duties, and auditability into integration design to support SOX compliance and internal control requirements. You might thrive in this role if you - Bring 10+ years of experience in integration development, architecture, and design, with a track record of delivering and operating production systems. - Have hands-on proficiency with at least two integration platforms, such as Workato, MuleSoft, or Oracle Integration Cloud (OIC). - Use Python as a primary development language and have built production applications or integration services with automated testing and sound engineering best practices. - Have worked in high-volume environments such as customer-facing e-commerce and understand the supply chain processes behind order management, inventory, fulfillment, and returns. - Understand integration patterns, REST and SOAP services, asynchronous messaging, EDI, and data formats such as JSON, XML, and CSV. - Have directly built or maintained third-party API integrations and understand OAuth, webhooks, rate limits, pagination, retries, idempotency, and failure recovery. - Are comfortable working with AWS or Azure and supporting technologies such as Kafka, PostgreSQL, Redis, or Elasticsearch. - Have experience with microservices and containerized applications using Docker and Kubernetes. - Take ownership of systems throughout their production lifecycle, participate in on-call support, and prioritize reliability and operational readiness. - Communicate technical issues and business impact clearly to both engineering teams and nontechnical stakeholders. - Work independently, navigate ambiguity, and turn business needs into practical technical solutions. Nice to Have - Experience building integrations to and from Oracle Fusion ERP or SCM, particularly across planning, procurement, manufacturing, inventory, logistics, and order management. - Experience developing MCP servers, plugins, or agentic automation for enterprise workflows. - Regular use of AI coding tools such as Codex, with a disciplined approach to reviewing, testing, and validating generated code. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with s

10+ years of experience in integration development, architecture, and design, with a track record of delivering and operating production systems. Hands-on proficiency with at least two integration platforms, such as Workato, MuleSoft, or Oracle Integration Cloud (OIC). Use Python as a primary development language and have built production applications or integration services with automated testing and sound engineering best practices. Experience in high-volume environments such as customer-facing e-commerce and understanding supply chain processes behind order management, inventory, fulfillment, and returns. Knowledge of integration patterns, REST and SOAP services, asynchronous messaging, EDI, and data formats such as JSON, XML, and CSV. Experience with building or maintaining third-party API integrations and understanding OAuth, webhooks, rate limits, pagination, retries, idempotency, and failure recovery. Comfortable working with AWS or Azure and supporting technologies such as Kafka, PostgreSQL, Redis, or Elasticsearch. Experience with microservices and containerized applications using Docker and Kubernetes. Ability to take ownership of systems through production lifecycle, participate in on-call support, and prioritize reliability and operational readiness. Strong communication of technical issues and business impact to both engineering teams and nontechnical stakeholders. Ability to work independently, navigate ambiguity, and translate business needs into practical technical solutions.

Define integration architecture and reusable design patterns across the supply chain technology landscape. Build and support integrations connecting ERP and SCM systems, internal applications, e-commerce platforms, 3PLs, contract manufacturers, retailers, and distributors. Develop workflows, APIs, event-driven services, and batch and file interfaces. 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 failures, and performance bottlenecks. Embed access controls, segregation of duties, and auditability into integration design to support SOX compliance and internal control requirements.