Salary
$202,000–$237,000
Posted
Jul 9, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A software engineering role focused on building and maintaining the cloud infrastructure that runs distributed AI workloads. Day-to-day work spans both control plane and data plane development — including cluster orchestration, scheduling, resource management, and container handling across VM and Kubernetes environments. Suited to engineers with solid distributed systems experience and hands-on knowledge of cloud platforms and container orchestration.

Mid level · 3+ years · San Francisco-Oakland-Berkeley, CA · Full-time

Must have (5)
GoPythonKubernetesAWS, Azure or GCPLinux
Nice to have (1)
Prometheus

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

Roughly 990 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 740–1,300

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What gives you an edge
Go14%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python51%Linux45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $190,744 (middle half $167,095–$224,501).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

The job title is a plain 'Software Engineer' with no level modifier; advertised seniority is Unspecified. The 3+ years requirement and scope (building distributed systems on a product team) support a Mid-level classification.

The degree requirement states 'Bachelor's degree in Computer Science, Engineering, or equivalent practical experience' — because equivalent experience is explicitly accepted, no formal degree is hard-gated.

AWS, Azure, and GCP are listed together as a single cloud-native requirement; AWS is used as the primary name with Azure and GCP as alternatives.

Prometheus and Grafana are listed together under 'Familiarity with observability stacks' — 'familiarity with' signals a preferred rather than hard-gated requirement. Both are emitted as preferred; each lists the other as an alternative since they are often used together but either alone could satisfy the observability signal.

No compensation range is disclosed in the posting.

Location is not explicitly stated in the posting; Anyscale is headquartered in San Francisco, CA, and no remote option is mentioned, so the role is assumed to be SF Bay Area / on-site.

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