Senior Platform Engineer - Core Infrastructure
Lambda · San Francisco, CA
$230,000–$340,000
Jul 20, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior platform engineering role focused on running Kubernetes at scale across both cloud and bare-metal environments. Day-to-day work covers cluster lifecycle management, reliability and security of production workloads, observability, CI/CD pipeline design, and incident response. The role also involves mentoring engineers and setting platform-wide standards, and suits someone with deep Kubernetes operations experience and strong infrastructure-as-code and automation skills.
Senior level · 5+ years · 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 12,900 people nationally plausibly meet what this posting asks for (software developers). range 7,700–19,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
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 $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 Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The job posting explicitly requires in-office presence 4 days/week in San Francisco, San Jose, or Seattle. The caller has overridden this to remote=true with a national candidate pool; the metro has been left blank accordingly.
SOC classification is Medium confidence: the role writes automation and tooling code in Go/Python (pointing to 15-1252 Software Developers), but also has a strong infrastructure operations and Kubernetes cluster management dimension (pointing to 15-1244). The coding emphasis and platform-engineering framing tip the classification to 15-1252.
The salary range is mentioned as existing but no figures are provided in the posting, so compensation fields are left unpopulated.
GPU scheduling, HPC/ML infrastructure, multi-cluster/multi-cloud experience, cost optimization, and CNCF/open-source contributions all appear under 'Nice to Have' and are omitted from the skills list as they name no specific concrete tool (except Temporal/Cadence/Argo Workflows, which are captured as preferred).
Go and Python are listed together as a single requirement ('Go or Python'); Go is the primary name with Python as an alternative.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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