採用
Required Skills
Python
Rust
Distributed Systems
Observability
Incident Management
ABOUT THE TEAM:
OpenAI’s mission is to make AGI beneficial for all of humanity and our mission is successful only if AGI drives real benefits across all industries in the world. Our goal in B2B applications is to enable this mission by helping businesses, enterprises & governments redefine how they operate to empower people and accelerate economic growth.
Connectors are the bridge between OpenAI products (ChatGPT Enterprise, Frontier, and the API) and the systems where work actually happens—documents, tickets, messages, CRM records, knowledge bases, and more. The Connectors Platform team builds the infrastructure and control plane that makes these integrations reliable, secure, scalable, and enterprise-ready across a wide range of partners and customer environments.
ABOUT THE ROLE:
We’re looking for an infrastructure-focused engineer to build and operate the systems that make Connectors dependable at global scale. In this role, you’ll design the control plane, reliability foundations, and operational tooling that power connector execution—auth flows, sync and indexing pipelines, rate limiting, isolation, observability, incident response, and safe rollouts. You’ll work closely with product engineering, partner teams, and security to ship enterprise-grade connectivity while meeting high bars for privacy, compliance, and uptime.
IN THIS ROLE, YOU WILL:
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Design and operate the infrastructure that powers connector sync, indexing, and retrieval at scale (job orchestration, queues, storage, caching, backpressure).
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Build the “control plane” primitives for connectors: rollout controls, configuration management, permissions, policy enforcement, and kill switches.
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Own reliability and operational excellence: SLOs, monitoring/alerting, incident response, postmortems, on-call health, and capacity planning.
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Create guardrails for safe multi-tenant execution: isolation boundaries, secrets handling, rate limits, abuse prevention, and blast-radius reduction.
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Partner with security and compliance teams to ensure enterprise requirements are met (audibility, least privilege, data retention, and secure-by-default architecture).
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Improve developer velocity via internal tooling: local dev workflows, canary environments, load testing, and observability dashboards.
YOUR BACKGROUND MIGHT LOOK SOMETHING LIKE:
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5+ years of professional engineering experience (excluding internships) in infra / SRE / platform roles at tech and product-driven companies.
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Strong distributed systems fundamentals and production instincts (availability, latency, correctness, resilience).
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Experience building and operating services with meaningful uptime and scale requirements (multi-region is a plus).
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Proficient in one or more backend languages (e.g. Python, Rust) and comfortable working close to systems concerns (networking, storage, queueing).
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Deep familiarity with observability (metrics, logs, tracing), incident management, and reliability engineering practices.
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Comfortable navigating ambiguous problem spaces and pushing pragmatic solutions into production.
Interest in AI/ML is a plus, but 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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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About OpenAI

OpenAI
Series CCreating safe AGI that benefits all of humanity.
1,500+
Employees
San Francisco
Headquarters
$80B
Valuation
Reviews
3.7
17 reviews
Work Life Balance
2.5
Compensation
4.2
Culture
2.8
Career
3.5
Management
2.2
35%
Recommend to a Friend
Pros
High compensation and equity packages
Prestigious company reputation in AI
Cutting-edge AI research opportunities
Cons
Company losing competitive edge to rivals
Poor management and leadership decisions
Declining prestige and market position
Salary Ranges
132 data points
Senior/L5
Staff/L6
Senior/L5 · Member of Go To Market Staff
10 reports
$322,000
total / year
Base
$280,000
Stock
-
Bonus
-
$207,000
$333,500
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Recruiter Outreach
2
Technical Phone Screen
3
Take-home Assignment
4
5-person Panel Interview
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