7 months ago
Base Salary
$150k - $350k/yr
Responsibilities
- Identify architectural changes that improve reliability, performance, and availability.
- Foster a culture of reliability across the engineering organization.
- Design and implement operational processes for deployments, upgrades, rollbacks, and postmortem reviews.
- Join a core engineering team and participate in the on-call rotation.
- Build monitoring systems that ensure high-quality service for customers.
- Debug production issues across all services and levels of the stack.
Requirements
- At least five years of experience writing high-quality production code.
- At least two years of on-call experience for critical production services.
- Strong cloud skills and deep familiarity with at least one hyperscaler cloud, with AWS preferred.
- Familiarity with autoscaling, fleet management, and capacity planning at scale.
- Experience owning and scaling Kubernetes clusters to thousands of nodes is a plus.
- Experience with systems safety research such as STAMP and control theory is a plus.
- Ability to work in person in the NYC, San Francisco, or Stockholm office.
- Ability to participate in an on-call rotation and respond to production incidents.
Benefits
- Work in person at the NYC, San Francisco, or Stockholm office.
- Participate in an on-call rotation for production incidents.
- Opportunity to define reliability systems and practices as the company's first reliability-focused hire.
Tech Stack
Categories
DevOpsSite Reliability
About Modal
Customers rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. Every era of computing came with new workloads that previous infrastructure couldn't serve: mainframes, databases, the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice. The window to build is open right now.