Member of Technical Staff - Platform Engineering
Modal · On-site
MeritLog read this listing from Modal's Ashby job board and last checked it on September 8, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $220K - $300K
- Location
- New York
- Company website
- modal.com
Hiring context
How this role compares at Modal
Modal has 30 live roles in MeritLog’s catalog across 6 job families, and 15 of them are in engineering. 28 of those listings publish a pay range, a disclosure rate of 93%.
This role's posted range of $220K - $300K sits above 81% of the 26 other Modal roles quoted over the same currency and period.
Modal concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What they're asking for
- 5+ years of experience writing high-quality production code.Experience
- 2+ years of on-call experience for critical production services.Experience
- Strong cloud skills, and deep familiarity with at least one hyperscaler cloud (AWS preferred).SkillPreferred
- Familiarity with auto scaling, fleet management, and capacity planning at scale.Skill
- Experience operating databases, monitoring, CI/CD, and other infrastructure, at scaleSkill
- Experience owning and scaling Kubernetes clusters to thousands of nodes a plus.SkillPreferred
- Experience with systems safety research (e.g. STAMP) and control theory a plus.SkillPreferred
- Ability to work in-person in our NYC or Stockholm offices.Skill
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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 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. 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.
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