Modal
Member of Technical Staff - Platform Engineering
New York · Staff+
Sponsorship not specifiedDetected 183 days ago
PostgreSQLRedisAWSCloud PlatformsKubernetesCI/CDPlatform EngineeringValuationControlsResearch
About the role
- Identifying architectural changes to improve reliability and performance.
- Fostering a culture of reliability across Modal's engineering organization.
- Defining and implementing operational processes such as deployments, upgrades, etc.
Requirements
- 5+ years of experience writing high-quality production code.
- 2+ years of on-call experience for critical production services.
- Familiarity with auto scaling, fleet management, and capacity planning at scale.
- Experience operating databases, monitoring, CI/CD, and other infrastructure, at scale
- Ability to work in-person in our NYC or Stockholm offices.
Nice to have
- Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred).
- 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.
Company info
- AI needs a new infrastructure layer. We're building it at Modal.
- Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and 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, and the window to build the layer underneath it is open right now.
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They 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.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
- AI needs a new infrastructure layer.
- We're building it at Modal.
- Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and 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, and the window to build the layer underneath it is open right now.
- Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno.
- They 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.
- We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures.
- We've crossed $300M+ ARR and grown fivefold since September.
- Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
- 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, customer base, and our team.
- This role is for people who are deep systems thinkers, love stacking nines, and thrive from making others move faster at scale.
- include:
- Operating systems like Kubernetes, Postgres, Redis, etc.
- Participating in on-call rotations, and responding to production incidents.
This listing is sourced directly from Modal's careers page and normalized into a canonical job model.