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Discernis

Senior Software Engineer

  • Office
  • 6+ years

Salary

$150,000 - 180,000/ year

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Description

The company builds AI for legal discovery, designed for datasets too large for general legal AI tools. Across millions of emails, chats, and documents, the platform helps litigation teams find what a group of people knew and when, with recall that attorneys can rely on in a case. It runs in private cloud or fully air-gapped on-prem setups for AmLaw firms and corporate legal teams.

The company is seed-stage and venture-funded, with paying Big Law customers and a pipeline of AmLaw firms and Fortune 500 companies in paid pilots or near deals. Industry incumbents have approached it about integrations. Discovery is the starting point, and the longer goal is helping enterprises understand and act on their largest, messiest data. The team is small and based in NYC, and this hire comes before the next growth stage.

Responsibilities

  • Work closely with the Head of Engineering on delivery, planning, and code review.
  • Take a major system from the architecture and roadmap for your area through to shipping.
  • Set engineering standards and review code alongside the Head of Engineering.
  • Plan sprints, scope projects, and decide what to build versus buy.
  • Talk with customers directly to find what is failing and why.
  • Interview candidates and mentor engineers as the team grows.
  • Stack: Python backend; PostgreSQL and Elasticsearch at multi-million-document scale; Kubernetes (K8s) for private cloud and air-gapped on-prem deployment; Vue.js frontend.

Requirements

  • 4+ years shipping production systems, at big tech, at startups, or both.
  • Have owned a system end to end, from design through on-call.
  • Work with little direction and still make sound decisions.
  • Hold firm architecture views backed by reasoning, and change them when given good arguments.
  • When applying, include one link to something you built or owned.
  • Background in document processing or distributed data pipelines.
  • Background in on-prem or air-gapped deployment.
  • Background in LLM-powered applications in production.

Conditions

Hiring runs in three steps: a call with the founder, a technical deep dive with the Head of Engineering, and an architecture session on a real problem.

Sustainable pace with no crunch culture or arbitrary deadlines.

The team values ownership, curiosity, and shipping, and looks for people who learn on their own, make good calls with little guidance, and care about getting it right for the attorneys who depend on the product.

Candidates who need an accommodation during hiring can ask for one.

Benefits

  • Meaningful equity, vesting over 4 years with a 1-year cliff.
  • Health insurance.
  • Unlimited PTO plus standard US holidays.
  • Real ownership in a clean codebase with solid CI and fast shipping velocity.
  • Direct work with the founder and with customers.

Where you’d work

From the office

The office

About the company

Discernis

Office in New York City, United States

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Details11 facts · Role, Location, Compensation
Tech stack
  • Python
  • PostgreSQL
  • Kubernetes
  • JavaScript
  • Vue
  • Elasticsearch
  • LLMs
Seniority
Senior
Equity
Equity offered
Specialty
Backend
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Development
Specialty
Backend
Seniority
Senior
Experience
4+ years
Tech stack
  • Python
  • PostgreSQL
  • Kubernetes
  • JavaScript
  • Vue
  • Elasticsearch
  • LLMs

Location

Work model
Office
Region
United States
Office
  • New York City, United States

Compensation

Salary
$150,000 - 180,000 / year
Pay period
Annual
Equity
Equity offered

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