Modal에서 플랫폼 엔지니어링을 담당할 시니어급 인재를 찾습니다. AI 인프라의 신뢰성을 극대화하고 대규모 시스템을 안정적으로 운영하는 것이 핵심입니다. 5년 이상의 개발 경력과 2년 이상의 온콜 경험이 필수이며, AWS 및 Kubernetes 환경에서의 깊은 이해도를 요구합니다. 뉴욕 또는 스톡홀름 사무실에서 근무하며 차세대 클라우드 인프라를 함께 구축할 분을 기다립니다.
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, Ramp, 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 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,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. Responsibilities include:
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.
Operating systems like Kubernetes, Postgres, Redis, etc.
Participating in on-call rotations, and responding to production incidents.
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 operating databases, monitoring, CI/CD, and other infrastructure, 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 or Stockholm offices.
