Senior Software Engineer
Zefr · Marina del Rey, CA
$180,000–$200,000from the description
Jul 22, 2026
Marina del Rey, CA
Jul 24, 2026
What this job asks for AI summary
A senior engineering role focused on designing, building, and operating microservices in Kubernetes and cloud environments at scale. Day-to-day work spans system architecture, reliability, observability, and incident response, alongside collaboration with product, ML, and infrastructure teams. The role suits an experienced engineer comfortable owning services end-to-end and integrating AI-assisted tools into their regular development workflow.
Senior level · 5+ years · Los Angeles-Long Beach-Anaheim, CA · 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 740 people in the Los Angeles-Long Beach-Anaheim, CA area plausibly meet what this posting asks for (software developers). range 560–960
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 $164,459 (middle half $130,334–$195,752). 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 (5)
The JD requires a 'Bachelor's or Master's degree … or related field' but pairs it with '5+ years of professional software engineering experience' without explicitly accepting equivalent experience in lieu of the degree. However, the phrasing is ambiguous enough (and the company's own diversity statement encourages candidates who don't meet 100% of qualifications) that degree requirement is set to None rather than Bachelors.
Cloud platform requirement is stated as 'GCP, AWS, or Azure' — AWS is listed as the primary name with GCP and Azure as alternatives since all three are explicitly interchangeable in the posting.
AI coding tools (Claude Code, Copilot, Cursor) are called out as a required daily practice; these are framed as a workflow expectation rather than a discrete named technology skill, so they are not emitted as individual skills.
The tech stack (Snowflake, Elasticsearch, PostgreSQL, Kafka, Dask, Pandas, GitHub Actions, Docker, Terraform, ArgoCD) appears in a descriptive 'stack' section rather than a gated requirements block, so all are marked preferred.
LLMs, MCP (Model Context Protocol), and agentic infrastructure are explicitly called out as 'Big plus' — marked preferred accordingly. MCP and agent-gateway are not emitted as standalone skills as they are niche/emerging terms without a canonical tool name.
Read the full posting
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