Description review

Strobe Power | Site Reliability Engineer | ONSITE (SF)

Strobe Power · ONSITE (SF) · back to the listing

HR standards

56/100

needs work

Title ↔ description

88/100

strong

Reads as

Site Reliability Engineer

100% confident

What this role officially is

ICT system administrator — ESCO, the EU occupation classification

ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.

Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin

How others title the same work

Large employers

  • Senior Site Reliability / Gitops Engineer Canonical
  • Senior Site Reliability / Gitops Engineer Canonical Ltd.
  • Senior Site Reliability Engineer Canonical Ltd.
  • Site Reliability / Gitops Engineer Canonical Ltd.
  • Site Reliability Engineer Canonical Ltd.

Startups

  • Senior Software Engineer, Product Infrastructure Atlas
  • Site Reliability Engineer Beam

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

AI data centers are creating a massive new wave of electricity demand and putting even more strain on an aging grid. Strobe is building the power company that will meet that demand.
Our software turns batteries and generators at commercial and industrial buildings into distributed power plants that can buy, sell, and dispatch electricity in real time. We build the control stack for operating these assets and the trading platform that connects them to wholesale energy markets.
We’re a small, high-ownership team working on critical infrastructure. You’ll learn how the energy system actually works: what happens inside the electrical room of a large commercial building, how data centers are powered, how utilities and grid operators communicate, and how a battery gets commissioned and brought online.
This is early, technical, and very real-world. The software you build will control physical equipment, keep power plants online, and move money in regulated markets. We’re the only company actively trading distributed power in FERC-regulated wholesale markets, with multiple behind-the-meter power plants operating in NYC and expansion underway in California and along the East Coast.
I’m looking for an experienced SRE to own our infrastructure and reliability. We remotely operate millions of dollars of equipment, and it has to work. You’ll own our AWS environment, the control-room infrastructure that communicates directly with utilities and market operators, and the systems we use to deploy, observe, and operate a growing fleet. You’ll also work closely with the rest of the engineering team to establish good patterns as we ship new services and features.
You’re probably a good fit if you have deep AWS experience, have used Terraform seriously in production, write a lot of Python, and are comfortable working around Rust services. Energy experience is useful but not required (SCADA, DNP3, MQTT).
Stack: Python, TypeScript, Rust, Terraform, AWS, GraphQL/AppSync, MQTT, Grafana. We work in a monorepo designed for agent-assisted engineering workflows and are investing heavily in making engineers dramatically more effective with coding agents.
Apply: [email protected] or https://strobepower.com/careers. Please mention Hacker News.

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 72 before penalties). Reviewed 21 Sep 2026.