
Software Engineer, API Multicloud
Primary stack
Job description
About the Position
Software Engineer, API Multicloud
San Francisco
About the Team
API Multicloud partners with cloud service providers (CSPs) to bring OpenAI’s frontier models and APIs into the cloud environments where developers and enterprises already build. We own the API end to end across CSP platforms, from API integration and request routing through inference execution, capacity management, and day-to-day operations. Our mission is to make these capabilities available broadly and safely while preserving the reliability and developer experience customers expect from OpenAI.
Delivering that experience requires work across the stack: adapting API services and cloud-native integrations, bringing up model-serving environments, validating new releases, and operating the systems that connect customer requests to available capacity. We work directly with CSP engineering teams and partner closely with OpenAI’s inference, API, infrastructure, security, and Safety Systems teams. Together, we turn new model capabilities and partner requirements into dependable production services, with attention to performance, operational readiness, and efficient use of compute.
Our work contributes to OpenAI’s AWS partnership, including the launch of Daybreak Red and Daybreak Blue on Amazon Bedrock. We’re building on that foundation to bring OpenAI’s API to additional CSPs. These efforts let customers use OpenAI capabilities within the cloud infrastructure, security controls, and workflows they already rely on.
Responsibilities
In this role, you will:
- Design and build cloud infrastructure and distributed services that connect API requests, routing, and model-serving deployments.
- Stand up and operate model-serving environments in partnership with inference engineers, bringing new models and serving capabilities into production.
- Plan and manage cloud capacity, improving utilization, caching, request performance, and cost efficiency as demand grows.
- Create repeatable build, release, and validation processes that catch functional and performance regressions before launch.
- Develop reusable infrastructure abstractions that let API capabilities run consistently across CSPs while accommodating provider-specific requirements.
- Partner with OpenAI’s inference, API, infrastructure, and security teams and CSP engineers to bring up the API serving stack on new platforms, resolve operational issues, and shape shared technical priorities.
- Own production health through observability, incident diagnosis, reliability improvements, and practical automation.
Requirements
- 7+ years of experience leading cloud infrastructure or distributed systems projects from architecture through launch and ongoing production ownership.
- Strong distributed systems fundamentals and the ability to reason about performance, reliability, and failure modes.
- Hands-on experience building and operating services on a major CSP, including deployment systems, networking, storage, and cloud-native integrations.
- Strong production coding and debugging skills, with the ability to move confidently through unfamiliar services and infrastructure.
- Experience with capacity planning, performance optimization, or operational tooling for production systems at scale.
- Sound technical judgment: you can turn ambiguous requirements into practical systems and reusable infrastructure.
- Clear technical communication and experience working across teams or organizational boundaries to deliver complex projects.
- Curiosity about model serving and AI infrastructure. Experience deploying models is a plus; direct ML or model-training experience is not required.
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 safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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