a37

Founding Engineer

Listed by employer · Checked

Older posting · still listed ·

  • onsite
  • FullTime
  • Engineering
  • San Francisco
Work arrangement
onsite
Employment
FullTime
Stated compensation
Not specified
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Source: ashbyChecked Original posting ↗
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Requirements

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Remote policy
onsite
“Provider workplace type: onsite”
From employer posting metadata
Employment type
FullTime
9 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Minimum experience (years)
Not specified
Work authorization
Not specified
Compensation
Not specified

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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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a37 is an AI research and product lab training fully autonomous DevOps engineers. Today’s DevOps landscape is a patchwork of disconnected, hard-to-manage tools. The resulting operational tax causes org wide issues: heightened security risk, rising cloud spend, and slower release cycles. The rise of AI software engineering agents has exacerbated these issues, causing more stress on DevOps teams than ever before. This isn't just inefficient—it's unsustainable. The current approach to DevOps will inevitably collapse under its own weight. Our team is a tight-knit group of second time technical founders with deep experience across AI and infrastructure. We work to win.
Original formatting and links

a37 is an AI research and product lab training fully autonomous DevOps engineers.

Today’s DevOps landscape is a patchwork of disconnected, hard-to-manage tools. The resulting operational tax causes org wide issues: heightened security risk, rising cloud spend, and slower release cycles.

The rise of AI software engineering agents has exacerbated these issues, causing more stress on DevOps teams than ever before. This isn't just inefficient—it's unsustainable. The current approach to DevOps will inevitably collapse under its own weight.

Our team is a tight-knit group of second time technical founders with deep experience across AI and infrastructure. We work to win.

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