Software Engineer, Infrastructure Reliability
About the Team We’re hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure.
What this role actually needs.
About the Team We’re hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure. 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. - Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems. Requirements: - 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead - A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement. - Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company. - 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Software Engineer, Infrastructure Reliability role.
- 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.
- Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead
- A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.
- Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.
- 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.
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Source: jobs.ashbyhq.com · Source ID: 621bb104-9daa-4c9e-949a-03d5730334e8 · Confidence: 97/100 · Last checked: May 7, 2026
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