Backend Engineer

LISTED INC.
United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Amazon Web Services Bash Shell Software Debugging Linux Elasticsearch Python (Programming Language) Node.Js NoSQL Redis Scala (Programming Language)
+11 more
Data Streaming Web Applications Data Processing Spring-mvc Apache Spark Caching Build Management Vertica Restful APIs Data Pipelines Microservices

Job description

  • 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

Requirements

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

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