Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
AWS
Agentic Systems @ 4
Codex @ 4
Communication @ 6
Distributed Systems @ 6
Go @ 6
Machine Learning
Observability
Python @ 6
Rust @ 6
TypeScript @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s API Multicloud team extends OpenAI’s API platform into strategic cloud environments, starting with AWS. The team distributes OpenAI’s API broadly and safely by enabling key API technologies in cloud-native environments, in partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied.
The team brings developer and enterprise capabilities into cloud-native environments, including cloud-hosted Codex, model customization and post-training as a service, and stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure.
The role involves building backend services, APIs, SDK integrations, authentication flows, and cloud service infrastructure that enable developers to use OpenAI capabilities in the cloud environments where they already build. The engineer will work across teams, including partner product groups, to ship products quickly across multiple platforms and shape architectures supporting different deployment models.
Responsibilities
- Build backend and infrastructure systems that extend OpenAI’s API platform into cloud-native environments such as AWS.
- Design and ship cloud-contained products that allow customers to use OpenAI capabilities while keeping workloads and data within cloud environments.
- Help establish cloud-hosted Codex experiences powered by the OpenAI Responses API.
- Build infrastructure and runtime abstractions for a stateful, cloud-optimized agentic platform.
- Partner with external cloud partners and internal teams across Codex, Research, and Safety Systems to translate emerging capabilities into production-ready systems.
- Improve the reliability, scalability, observability, and operational maturity of the services underpinning these products.
- Help shape the technical direction of a growing team as it scales into a larger engineering organization.
Requirements
- 7+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies.
- Proficiency in one or more backend languages, such as Python, Go, Rust, or TypeScript, and knowledge of distributed systems concepts.
- Experience building developer tools, especially AI-powered tools.
- Excellent technical communication and the ability to shape architectures supporting different deployment models.
- Experience building cloud services is a strong plus.
- Experience turning ambiguous, fast-moving technical problems into pragmatic, durable systems.
- Experience working with cloud infrastructure primitives and owning production services.
- Experience collaborating cross-functionally with platform, research, safety, or external partner teams is a plus.
- Interest in AI infrastructure, agentic systems, developer platforms, and AI/ML; direct AI/ML experience is not required.
- Ability to thrive in fast-growing, product-driven companies by navigating loosely defined tasks and managing competing priorities and deadlines.
Benefits
- Equity, performance-related bonuses for eligible employees, and comprehensive benefits.
- Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
- 401(k) retirement plan with employer match.
- Paid parental, medical, and caregiver leave.
- Paid time off, company holidays, office closures, and paid sick or safe time.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily office meals and eligible meal delivery credits.
- Relocation support for eligible employees.
- Additional benefits may include charitable donation matching and wellness stipends.
- OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.