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Valency Systems Inc.
Berkeley, California, United States
Source: Valency Systems Inc. careers · View original posting
From Valency Systems Inc.'s posting. “We” and “our” refer to the employer.
Valency Systems is a small, dynamic team of engineers, scientists, and researchers building the global hub for the agentic research era.
We're based in Berkeley, California, and we're building something that matters. If you care about open science, advancing research at the speed of thought, and using AI to accelerate discovery, we'd love to talk.
Our team is hybrid. We come together in person 3 days a week, with the option for 2 days of remote work.
The Position
We’re hiring an AI-native DevOps / Operations Engineer to help build and operate the platform behind Valency. This is not a narrow infrastructure maintenance role. We want builders who can design and harden production systems, improve CI/CD and release quality, raise reliability and response times, and create the observability, analytics, and guardrails needed to safely operate a rapidly evolving platform.
This role sits at the intersection of platform engineering, cloud infrastructure, production operations, and AI-era software delivery. You will help close the loop from agentically written software to reliable, performant systems in production. That means better tests, better release controls, stronger guardrails, richer production telemetry, clearer workflows for human approval, and tighter feedback into product and engineering.
This is an especially strong fit for someone who has helped scale high-growth SaaS systems, likes building from first principles, and wants to experience that kind of growth again in a new context.
In the first 6–12 months, you will help Valency begin tracking and materially improve:
Today the platform makes use of AWS and adjacent infrastructure including:
This is not “DevOps, but with AI in the title.”
You will help build the operational system around software and workflows that increasingly involve agents. That includes:
We do not require prior experience operating AI-native systems at scale. We do require strong judgment, strong production systems experience, and a willingness to build the right AI-era operating model.
Compensation
We offer a competitive salary, benefits, and meaningful equity in a company building something important from the ground up.
Candidates must be legally authorized to work in the United States.
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