Senior Software Engineer

Discernis

New York, New York, United StatesFull-timePosted Oct 28, 2026

About the role

About Discernis

Discernis builds AI for legal discovery at a scale where general legal AI tools fall apart. When a litigation team needs to know what a group of people knew, and when, across millions of emails, chats, and documents, our platform finds it with the recall attorneys can stake a case on. We deploy in private cloud and fully air-gapped on-prem for AmLaw firms and corporate legal teams.

We're seed-stage and venture-funded, have paying Big Law customers, and have a pipeline of AmLaw firms and Fortune 500 companies lined up for paid pilots and future deals. Industry incumbents are coming to us to integrate. Discovery is our wedge: the bigger goal is helping enterprises understand and act on their largest, messiest datasets. We're a small team based in NYC, and you'd be joining before our next stage of growth.

How we work

We value ownership, curiosity, and shipping. We hire people who teach themselves new things, make good calls without much direction, and care about getting it right for the attorneys who depend on us. We work hard at a sustainable pace, without crunch culture or arbitrary deadlines.

The role

You'll be working closely with our Head of Engineering, responsible for shipping, planning, and code review together. This is a high-leverage engineering role. We want someone we can hand a major system to and trust completely.

What you'll do

Own the architecture and roadmap for your area, then ship it

Review code and set engineering standards with our Head of Engineering

Plan sprints, scope projects, and make build-vs-buy calls

Work directly with customers to understand what's breaking and why

Help interview and mentor as the team grows

Our stack

Backend: Python

Data and search: PostgreSQL, Elasticsearch, at multi-million-document scale

Deployment: Kubernetes (K3s), private cloud, and air-gapped on-prem

Frontend: Vue

What we're looking for

4+ years shipping production systems, ideally at big tech, at multiple startups, or both

You've owned a system end to end, from design through on-call.

You operate with very little direction and still make good calls.

You hold strong, well-reasoned opinions on architecture and can be talked out of them.

When you apply, please include one link to something you've built or owned.

Nice to have

Document processing or distributed data pipelines

On-prem or air-gapped deployment

LLM-powered applications in production

Our process

A call with our founder

A technical deep dive with our Head of Engineering

An architecture session on a real problem

Why Discernis

Real ownership in a clean codebase with solid CI and fast shipping velocity

Direct work with the founder and with customers

Meaningful equity with a 4-year vest and 1-year cliff

Health insurance

Unlimited PTO plus standard US holidays

If you need an accommodation during the hiring process, email us at admin@discernis.ai.

Responsibilities

  • Own the architecture, roadmap, and delivery of a major product area
  • Review code and establish engineering standards with the Head of Engineering
  • Plan sprints, scope projects, and make build-versus-buy decisions
  • Work directly with customers to identify and resolve problems
  • Help interview and mentor team members

Qualifications

  • At least 4 years of experience shipping production systems
  • Experience owning a system end to end, from design through on-call
  • Ability to work independently and make sound engineering decisions
  • Strong, well-reasoned opinions on software architecture
  • Include a link to something you have built or owned when applying
  • Nice to have: experience with document processing, distributed data pipelines, on-premises or air-gapped deployments, or production LLM applications

Benefits

  • Meaningful equity with a 4-year vesting schedule and 1-year cliff
  • Health insurance
  • Unlimited PTO and standard US holidays

Skills mentioned

PythonPostgreSQLElasticsearchKubernetesVueBackend DevelopmentSystem DesignDistributed SystemsData PipelinesCI/CD