Platform Engineer, Infrastructure
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 49d ago
The date the source published, not the day we noticed it (2026-07-27). Last seen at its source just now.
Is it remote?
Remote (US)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160k–225k/yr
Middle 50% of 2164 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen just now
The listing
About Wispr
Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards.
Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it.
We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people.
About the role
You’ll own the backend systems that keep our products fast, available, and safe to change as Wispr scales. You’ll evolve how compute and data scale, establish consistent observability across our services, and rebuild the development workflows engineers use to test critical product experiences.
What you’ll do
Decouple compute and data storage so core dictation systems can scale independently
Build systematic observability and alerting across our FastAPI services, catching critical failures before users do
Create isolated, end-to-end test environments for onboarding, dictation, Notetaker, and other core experiences
Improve the redundancy and global availability of critical infrastructure
Remove production bottlenecks at their root and give engineers faster, more trustworthy feedback loops
You may be a fit if
You’ve designed backend systems whose compute, storage, and services needed to scale independently
You’ve built observability and alerting that teams trusted in production
You’ve owned infrastructure, deployment, and on-call for services you personally shipped
You’ve improved developer workflows while increasing—not trading away—correctness
You connect infrastructure decisions to measurable customer outcomes
You’ve evolved critical systems through startup or hyperscale growth
Prior voice, ML, model-serving, or SRE-title experience is not required.
Get to know us
Logistics
We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm.
We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience.
We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.