Scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world, ensuring systems are highly reliable, observable, performant, and secure so researchers can iterate quickly and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.
Requirements
- Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.
- Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.
- Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms
- Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.
- Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.
- Experience with containerization technologies and container orchestration platforms like Kubernetes.
- Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.
Responsibilities
- Design, build, and operate reliable and performant systems used across engineering.
- Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.
- Dig deep to resolve complex issues.
- Continuously improve automation to reduce manual work.
- Improve internal tooling and our developer experience.
- Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.
Other
- 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.
- 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.
- Are comfortable with ambiguity and rapid change.
- 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead
