Member of Technical Staff - Platform Engineering
- Salary
- $220K - $300K
- Level
- Staff
Not stated in the posting: work type, visa.
Open. First seen 14 March 2026.
About the role
Modal's standard text
About Us:
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 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've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Modal's standard text
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, 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.
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 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.
What this role asks for
Particular to this role
PostgreSQL · Redis
Rare in Modal's other 28 open postings.
Standard for DevOps / SRE / cloud roles
AWS · CI/CD · Kubernetes
Common in DevOps / SRE / cloud postings at any company.
In most of Modal's ads
Seaborn
Named in most of its open postings, whatever the role.
63% of this description is written for the role. The rest is Modal's standard text, folded away below.
Read against Modal's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 24 open in Engineering. 7 were posted in the last 30 days and the oldest in October: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Seaborn (24 of 24), Linux (11 of 24), Linux Kernel (10 of 24), Serverless (8 of 24), LLM (7 of 24), Rust (7 of 24), Golang (4 of 24)
OTHER ROLES ON THIS TEAM
- IT Lead posted Oct 15
- Member of Technical Staff - Storage (Stockholm) posted Oct 14
- Member of Technical Staff - SDK (Stockholm) posted Oct 7
- Member of Technical Staff - Inference Runtime posted Oct 5
- Member of Technical Staff - Machines posted Sep 22
- Member of Technical Staff - Storage posted Sep 22
- Documentation Engineer posted Sep 21
- Inference Engineering and Product Lead posted Sep 16
- Detection and Response Engineer posted Aug 17
- ML Research Intern posted Jul 28
- Member of Technical Staff - Research, Post-Training posted Jul 5
- Member of Technical Staff - Research, Inference posted Jul 5
- Systems Engineering Manager posted May 19
- Member of Technical Staff - Product (Growth) posted May 18
- Infrastructure Security Engineer posted Apr 21
- Member of Technical Staff - ML Performance posted Apr 21
- Forward Deployed Engineer - ML posted Feb 23
- Systems Engineering Manager posted Feb 3
- Member of Technical Staff - Systems posted Jan 12
- Member of Technical Staff - Product (Backend) posted Jan 9
- Forward Deployed Engineer - Systems posted Sep 23
- Member of Technical Staff - SDK posted Aug 22
- Member of Technical Staff - Systems posted Oct 23
From the team and dates on Modal's own job board.
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