Senior Software Engineer, Coding
Handshake · San Francisco, CA
$225,000–$250,000
Jul 14, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior engineering role focused on building the data infrastructure and evaluation systems that underpin AI coding model development. Day-to-day work spans designing large-scale data pipelines, automated benchmarking and grading frameworks, containerized code execution environments, and developer-facing tooling integrated with systems like GitHub and CI/CD platforms. Suits engineers with a strong distributed systems and backend background who are comfortable working alongside ML researchers to turn research requirements into production infrastructure.
Senior level · 6+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
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 930 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (software developers). range 700–1,200
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 $190,744 (middle half $167,095–$224,501).
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 role sits at the intersection of backend/distributed systems engineering and data infrastructure for AI model training; 15-1243 (Database Architects) is a plausible runner-up given the heavy emphasis on data pipeline and storage design, but the primary day-to-day work is building backend services and scalable platforms, making 15-1252 the stronger fit.
Python, TypeScript, and Java are listed together as interchangeable language options under the requirements section ('Python, TypeScript, Java, or similar languages'); Python is emitted as the primary with the others as alternatives.
Docker and Kubernetes are listed together under a single containerization requirement; both are emitted as separate required skills since they are distinct tools that are both used, but each also carries the other as an alternative to reflect the 'or' framing in the JD.
All 'Nice to Have' items (Airflow/Temporal/Dagster, GitHub APIs, CI/CD platforms, LLM evaluation, ML data infrastructure, coding agents) are marked preferred per the explicit 'Nice to Have' heading.
No compensation figures are stated in the posting.
Read the full posting
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