Senior Backend Engineer

dMetrics · United States

RemoteWorkplace
2d agoPosted · Sep 22
HimalayasSource
$127kbackend developer median

Skills in this posting

The posting

You are interested in large-scale content aggregation, data processing, and storage.

We expect you to work closely with others and provide leadership, code discipline, and project design by example. You are extremely driven and want to assume ownership over an important part of our technology to build a solid product stack.

You will use your expert Java skills to design and build high load web applications and service-oriented systems for collecting, storing, processing, searching, and visualizing very large volumes of unstructured text.

In doing so, you will solve a wide variety of engineering challenges, ranging from data flow, to storage, to aggregation, to supporting APIs / presentation layer / data pipelines / web apps. You have experience developing in OSX and/or Linux.

You are comfortable with change. You’ve had positive experience working for a startup before. US Citizens or Green Card holders only.

Java (5+ yr)

Spring MVC (5+ yr)

NoSQL & relational DBs (3+ yr)

ElasticSearch or ClickHouse

Redis

Spark

AWS

Responsibilities

Implement multi-tier scalable SaaS architectures

Design and consume RESTful web service APIs via microservices

Debug and troubleshoot existing codebase

Deploy to and manage apps in the cloud

Bonus - hands-on experience with

NodeJS, Python, Scala

ML, NLP, statistics

Bash/unix tools, security, caching

Familiarity w/security patterns’ best practices

We put subject matter experts in control of data analysis and remove dependency on technical personnel. Financial, brand, and public sector analysts use Minsky® (our ML/NLP platform) to get unique, actionable insights out of Internet-scale volumes of unstructured data - in mere hours, and without writing code.

Our customers include financial, healthcare, and public institutions. Founded by two MIT PhDs, dMetrics includes some of the world's top authorities in machine learning and natural language processing, with 10,000+ citations of our team's work in the academic press.

Originally posted on Himalayas

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