San Jose, CA

Salary
—
Posted
Aug 9, 2026
Location
San Jose, CA
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

This role focuses on building core infrastructure software for intelligent data platforms — covering storage, caching, metadata services, and distributed systems — with a particular emphasis on supporting AI/ML and LLM workloads at scale. The work involves low-level systems programming in C/C++ and Python on Linux, along with designing data movement, replication, and lifecycle management capabilities. It suits a seasoned systems software engineer with deep experience in storage or distributed infrastructure.

Senior level · 12+ years

Must have (5)
CC++PythonLinuxLLMs
Nice to have (3)
Rust or GoKubernetesGitHub Copilot, Openai Codex or Claude Code

“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

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 $138,970 (middle half $107,524–$175,762).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 11, 2026. It is a model, not a headcount.

Why we read it this way (6)

The degree requirement lists 'Bachelor's or Master's' but does not accept equivalent experience in lieu of a degree — however, the phrasing is ambiguous enough (no hard 'required' gate) that it is treated as preferred rather than a hard minimum.

Rust and Go are listed together as a single experience line ('Experience with Rust, Go') with no firm gating language, so they are treated as preferred and grouped as alternatives of each other.

Kubernetes and containers appear under a 'Familiarity with' qualifier, confirming preferred status.

AI coding assistants (GitHub Copilot, OpenAI Codex, Claude Code, or similar) appear in the requirements section but with 'or similar' framing; listed as preferred given the open-ended substitution language and the novelty of the requirement.

Knowledge of AI infrastructure / GPU clusters and LLM workloads appears in the requirements block and is captured via the LLMs skill; storage systems, file systems, object storage, and distributed data platforms are core to the role but name no single discrete tool, so they are represented through the overall role description rather than as separate skill entries.

12+ years is stated as a role-level experience requirement, not tied to any specific technology.

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