Software Engineer, Reliability

OpenAI

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Research Services 👥 201 employees 📍 San Francisco, CA, US Est. 2015

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with…

Job Overview

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. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload.

Key Responsibilities

• 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.


• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.


• Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.

You might thrive in this role if you:

• Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.


• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.


• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.


• Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems.


• Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management.


• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

Required Qualifications:

• 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.


• Excellent problem-solving and troubleshooting skills.


• Strong communication and collaboration skills.


• Experience with observability tools such as DataDog, Prometheus, Grafana and Splunk.


• Experience with microservices architecture and service mesh technologies.


• Knowledge of security best practices in cloud