Software Engineer, Reliability
Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.
What this role actually needs.
Software Engineer, Reliability at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
- Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable.
- Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
- Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources.
- Implement fault-tolerant and resilient design patterns to minimize service disruptions.
- Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- Proven experience as an SWE focused on reliability or a similar role in a fast-paced, rapidly scaling company.
- Strong proficiency in cloud infrastructure.
- Proficiency in programming languages.
- Experience with containerization technologies and container orchestration platforms like Kubernetes.
- Knowledge of IaC tools such as Terraform or CloudFormation.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.
- Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable.
- Build and maintain automation tools to streamline repetitive tasks and improve system reliability.
- Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources.
- Implement fault-tolerant and resilient design patterns to minimize service disruptions.
- Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to software engineer, reliability is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- $230K - $490K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
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