Why This Job is Featured on The SaaS Jobs
Infrastructure reliability is a core differentiator for SaaS products that operate at high utilization and user expectations, and this role sits directly on that pressure line. The remit spans distributed systems, databases, observability, and cloud infrastructure, reflecting a platform environment where reliability work is not a narrow SRE lane but a cross-cutting engineering function. The focus on safety, resilience, and developer velocity signals a mature infrastructure organization supporting multiple internal teams and production workloads at meaningful scale.
For a SaaS career, the long-term value is in building judgment around operability as a product feature. Work that blends performance bottlenecks, automation, and incident response develops a practical understanding of how availability, latency, and change management shape customer experience and iteration speed. Experience improving internal tooling and developer experience is also highly portable across SaaS companies that depend on platform leverage rather than one-off heroics.
This role tends to fit engineers who prefer end-to-end ownership and are comfortable moving between deep technical investigation and systemic improvements. It suits professionals who like collaborating across infra and product-adjacent teams, and who enjoy turning ambiguous reliability problems into measurable engineering outcomes. It is also a strong match for those motivated by building durable foundations that other teams can build on confidently.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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. All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.
About the Role
You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our 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.
This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.
In this role you will:
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.
You might thrive in this role if you:
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.
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.
Qualifications:
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.
Experience with microservices architecture and service mesh technologies.
Knowledge of security best practices in cloud environments.
Strong understanding of distributed systems, networking, and database technologies.
Excellent problem-solving skills and ability to work in a fast-paced environment.
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.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
