Staff Software Engineer
Back End
Confirmed live in the last 24 hours
Primer AI

51-200 employees

Text analytics security solutions
Company Overview
Primer is on a mission to build mission-ready AI for those who protect security and democracy. With Primer, analysts and operators can understand and act on vast amounts of unstructured data in real time - from text and images to audio and video.
AI & Machine Learning
Data & Analytics
Aerospace
B2B

Company Stage

Series D

Total Funding

$240.5M

Founded

2015

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

-42%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Agile
Python
Data Structures & Algorithms
Postgres
AWS
Go
Elasticsearch
Redis
Natural Language Processing (NLP)
Flask
Google Cloud Platform
CategoriesNew
Backend Engineering
Full-Stack Engineering
Software Engineering
Requirements
  • Experience leading commercial software technical projects end-to-end in an agile environment on any major cloud provider (AWS, GCP, Azure, etc)
  • Experience with data ingestion, processing and data retrieval systems at scale
  • Experience with working with real-time and distributed systems
  • 5+ years of shipping production grade software
  • Expertise in Python and Golang
  • Expertise in Flask, ElasticSearch, PostgreSQL, Redis and Kubernetes
Responsibilities
  • Architect and extend scalable ingest pipelines and data stores to ingest, analyze, and understand large volumes of data
  • Collaborate with teams on the Delta product to design an information retrieval architecture to analyze and conduct search on documents and graphs
  • Work with machine learning engineers and data scientists to extend the platform’s capabilities to new models and algorithms while maintaining performance metrics
  • Work on massive datasets, integrating with features such as event and topic detection, relation extraction, summarization, entity recognition, document classification, multilingual NLP and knowledge base generation