Staff Software Engineer (Backend) - Everand Core at Scribd, Inc.
San Francisco, CA
$141,000–$267,000from the description
Jul 10, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A staff-level backend engineering role focused on the Everand digital reading and listening platform. The work centers on setting architectural direction, owning backend reliability and platform health, and modernizing legacy systems — while collaborating closely with product, design, mobile, web, and machine learning teams. It suits an experienced distributed-systems engineer comfortable with technical leadership, mentorship, and cross-functional execution.
Staff level · Remote · Full-time
“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 16,700 people nationally plausibly meet what this posting asks for (software developers). range 7,000–25,100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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). 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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The JD lists Ruby as the preferred backend language, with Scala, Go, and Python as named alternatives — all are captured under a single skill with alternatives per the interchangeable-options rule.
Compensation figures span a wide US geographic range ($141K–$267K/year); the min reflects the lowest non-California US market and the max reflects the highest California market. A separate CAD range ($179K–$228.5K CAD) applies to Canadian locations, which are not reflected in the USD figures above.
The role also covers Canada (Ottawa, Toronto, Vancouver) and Mexico City, but the caller has declared this fully remote with a national US candidate pool; no metro is set.
'Strong coding ability in Ruby' and 'Experience improving reliability, latency, or throughput in large-scale distributed systems' appear under the 'It's a plus if you also have' section and are therefore preferred, even though Ruby is the preferred language in the main requirements block — the plus section explicitly re-lists them as optional extras.
Experience working alongside ML teams on recommendation or feed systems, and familiarity with experimentation/feature-flagging platforms, are explicitly listed under the 'It's a plus if you also have' section.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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