Software Engineer - Storage Infrastructure (Senior+) at Cogent Security
San Francisco, CA
$100,000–$300,000from the description
Aug 2, 2026
San Francisco, CA
Sep 25, 2026
What this job asks for AI summary
A Senior Storage Infrastructure Engineer role on the Core Platform team at an Applied AI cybersecurity startup. The engineer will own backup, restore, retention, and encryption policies across relational, streaming, and analytical data stores, build storage observability dashboards, and develop an AI-driven Storage Operations Agent for incident triage and remediation. The role suits someone with deep hands-on data infrastructure experience, strong coding ability, and comfort with infrastructure-as-code.
Senior level · 3+ years · San Francisco-Oakland-Berkeley, CA · Full-time
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How this req sits in the market our data
Roughly 10 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (network and computer systems administrators). range 4–20
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $132,532 (middle half $103,068–$167,147). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 4, 2026. It is a model, not a headcount.
Why we read it this way (6)
The SOC classification is a close call: the role involves both building software (a Storage Operations Agent, observability dashboards, IaC) and operating/administering data infrastructure. The primary framing is infrastructure ownership and operations, so 15-1244 is used, but 15-1252 (Software Developers) is a credible alternative given the coding emphasis.
The '3-6 years' experience range is stated alongside a '(Senior, Staff+)' label — the overall years minimum is set to 3 (the floor of the range).
The compensation range ($100K–$300K) is unusually wide; the posting notes it varies by location, level, and experience.
Location is inferred as San Francisco Bay Area based on the California salary disclosure and the company's profile; no explicit city is stated in the posting.
VectorDB is listed under Bonus Points as a generic category label rather than a specific named product; it is omitted from the skills list. Turbopuffer and PuppyGraph are specific named tools and are retained as preferred skills.
Databricks and Snowflake appear only as example companies under Bonus Points (startup experience), not as technology requirements — they are omitted from the skills list.
Read the full posting
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