Infrastructure Software Engineer, Leverage Engineering

About the Team

The Leverage team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company-then share what we learn back to the broader product and research teams. We've built an ecosystem of automation products that's applied everywhere from customer operations to workplace to engineering.

We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains.

About the Role

We're looking for a cloud infrastructure engineer who'd be excited to join our product-minded team to help scale up a rapidly-growing internal product. Having achieved internal product-market fit, we're investing in system reliability, operability, and latency and are seeking a domain expert to drive measurable improvements in these areas and foster a culture of operational excellence across the team. You'll blend your understanding of our product strategy with your relationships with OpenAI's core infrastructure teams to drive platform performance improvements that our end users will meaningfully feel. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling a great product.

In this role, you will:

• Apply your domain expertise in scalability, reliability, and operability to a rapidly growing internal product

• Drive a culture of operational excellence across the team

• Own the end-to-end development lifecycle for infrastructure-dependent platform capabilities and security initiatives

• Collaborate closely with product engineers, core infrastructure teams, internal technical and business stakeholders, and third party service providers

Your background might look something like:

• 7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies

• Early engineer at a rapidly-growing startup who has scaled a product by orders of magnitude is a plus

• Proficiency with a backend language (we use Python), relational and document databases (e.g. Postgres or Azure Cosmos DB), asynchronous queueing systems (e.g. Kafka or Temporal), and cloud providers (we use Azure; AWS or GCP experience is helpful too).

• Interest in AI/ML (direct experience not required)

• Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.

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 do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

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For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

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.

Compensation Range: $325K - $405K