# Midpage - Senior Software Engineer at deCircle

> Onsite · United States · Senior · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780729 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: New York, New York, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/midpage-senior-software-engineer
- Skills listed (inferred): TypeScript, Python, PostgreSQL, Elasticsearch, GCP, Docker, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 269): p25 $170k, median $195k, p75 $223k

## Description (the employer's text)

Midpage: legal data layer and AI legal research; Anthropic's legal data partner; 200+ law firms (NYC, 8 people, $6.1M).

Comp: $170K-$240K + 0-0.4% equity. Location: On-site NYC. Visa: Not open to visas (US citizen / GC).

### Responsibilities

Pipelines enriching case-law documents with metadata (overrules, appeals, remands)

Reliability/accuracy of hundreds of web scrapers

Optimize/evaluate core utils (citation extraction/resolution, court hierarchy)

Expose services via APIs, MCPs, websockets

Benchmark/evaluate core tasks

Tech: Python, Postgres, Prefect, Vercel, GCP, ElasticSearch, Docker, TypeScript

Source: https://www.paraform.com/share/midpage/cmlzzuhxl00050djoo7ce78he

### Requirements

2+ yrs backend technical generalist (fullstack bonus), startup experience ideal

Data pipelines + basic/intermediate infra/devops

Python and SQL; stats/ML bonus

US citizen/GC

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780729 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.