Member of Technical Staff - Reliability Engineering

About Us:

Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno.

We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. Our investors include Lux Capital, Redpoint Ventures, Amplify Partners, and Elad Gil.

Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.

The Role:

At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform and customer base.

This role is for people who are deep systems thinkers and love stacking nines. You would be the first reliability-focused hire at the company with the opportunity to define the company’s reliability systems and practices, and be a critical partner for our development teams.

• Identify architectural changes to improve reliability, performance and availability.

• Foster a culture of reliability across Modal’s engineering organization.

• Design and implement key operational processes such as deployments, upgrades, rollbacks, and postmortem review.

• Join a core engineering team and participate in on-call rotation, responding to production incidents.

• Build monitoring systems that ensure the highest quality service for our customers.

• Debug production issues across all services and levels of the stack.

Requirements:

• 5+ years of experience writing high-quality production code.

• 2+ years of on-call experience for critical production services.

• Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred).

• Familiarity with auto scaling, fleet management, and capacity planning at scale.

• Experience owning and scaling Kubernetes clusters to thousands of nodes a plus.

• Experience with systems safety research (e.g. STAMP) and control theory a plus.

• Ability to work in-person in our NYC, SF or Stockholm offices.