Senior Software Engineer
midpage
Early in your engineering career, landing a role where you ship real systems that replace human work is rare. midpage is hiring a senior software engineer to build infrastructure for the largest case law dataset powering a lawyer-facing AI platform. You'll own pieces of a product that actually displaces manual labor priced at $300+/hour—that's the kind of impact that accelerates your growth.
Your day-to-day: build data pipelines that extract court metadata (which decisions overrule others, which are appeals or consolidations), keep hundreds of web scrapers reliable and accurate, optimize core utilities like citation extraction and court jurisdiction logic, and expose services via APIs and websockets. The bar here is pragmatism—simple solutions to complex problems beat elegant ones that don't ship.
You're a generalist who thinks in systems. Backend is your strong suit (fullstack is a bonus). You've worked with data pipelines, basic to intermediate infrastructure, and you're comfortable debugging at multiple layers. Computer science background helps, but what matters more is that you ship and learn fast.
Apply through CareerJumpship to submit your resume, portfolio, or GitHub. midpage is based in New York and this role is in-office.
About this role
We're hiring a senior software engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services. Responsibilities include: - Building pipelines that augment documents with metadata, e.g., which decisions overrule another decision, which decisions are an appeal/remand/consolidation of another decision, etc. Our competitors still label these by humans making $300+/hr. - Building systems to ensure the reliability and accuracy of hundreds of web scrapers. - Optimizing and evaluating our core utils, which do things like extracting and resolving citations, determining which courts are able to overrule which other courts, etc. - Exposing core services on our data via APIs, MCPs, websockets. - Benchmarking and evaluation of core tasks (human and synthetic). We believe in skipping what can be skipped and appreciate simple solutions to complex problems. Good candidates for this role should be (1) technical generalists, definitely across the backend (bonus for fullstack), and (2) comfortable working with data pipelines, including basic to intermediate infra/devops. Interest/experience with stats/ML/AI is a bonus, but not critical. You should be cautiously AI-pilled. Tech stack isn't critical, Python and SQL are core. Definitely be able to stand up your own projects on your preferred infra end-to-end. Role is in-person at our office in SoHo, NYC. Competitive cash/benefits/salary. Skills: Python, PostgreSQL, ElasticSearch, Playwright, GCP, Pinecone, Prefect, NeonDB. Visa sponsorship available; relocation not available.
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