Site Reliability Engineer
Location: Remote in the US, Austin preferred, with quarterly travel to Austin
Employment type: Full time
About the company An Austin AI company is turning research into its first commercial product. The team is small, the problem is hard, and reliability is the promise.
About the role
This is an experienced individual contributor seat, and it’s one of the first two hires the team wants in ahead of the enterprise launch. You’ll own how releases ship, how production is watched, and what it costs to run.
What you’ll do
Ship releases quickly without breaking quality
Build observability across the stack with Datadog, Grafana and Prometheus
Run production on Kubernetes and Postgres, and keep cloud costs efficient
Design the on call model, with real input on how it works
Raise the bar on infrastructure as code
Use AI agents in scripting and deployment, which is how the team already works
Work with engineers on production readiness
What we’re looking for
You’ve run production through real incidents and learned from each
Hands on Kubernetes and a major public cloud
Observability experience with Datadog, Grafana, Prometheus or similar
Comfortable scripting and automating, and using AI tools in your daily work
Comfortable with startup pace, and with guiding others without a formal title
Nice to have
Google Cloud (GCP) experience
Startup experience, or experience in regulated environments with privacy and compliance needs
A strong point of view on infrastructure as code
Why this role
Real ownership, with visibility to the leadership team
A small team with a launch ahead
Equity in an early stage company
Remote, with quarterly time together in Austin
Compensation:
$150K to $200K base plus equity
Hubscale is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.