Remote Developer & Coding Jobs

Discover top remote jobs for frontend and backend developers—Ruby, React, PHP, Python, and more.

Signup for our free daily newsletter to get notified of new remote developer jobs.

Unsubscribe at anytime. Privacy policy

Posted over 1 year ago

Backend Python Developer Sr.

  • Remote job

Position Requirements:

  • Must design and communicate external and internal architectural perspectives of wellencapsulated systems (e.g. Service Oriented Architecture, Docker based Services, microservices) using patterns and tools such as Architecture/Design Patterns and Sequence Diagrams.
  • Must have experience with some amount of ‘Big Data’ technologies such as:
  • ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores.
  • Should have experience with design, implementation, and operation of data intensive, distributed systems. (The book, Designing Data Intensive Applications, is a good reference)
  • Should embrace the discipline of Site Reliability Engineering.
  • Should have experience using Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a wellmaintained testing pyramid.
  • Should have API and Data Model Design or Implementation experience, including how to scale out, make highly available, or map to storage systems.
  • Should have experience with multiple software stacks, have opinions and preferences, and not be married to a specific stack.
  • Should have experience designing and operating software in a Cloud Provider such as AWS, Azure, or GCP.
  • Might have experience using Feature or Release Toggles as a code branching strategy.
  • Might have experience designing, modifying, and operating multitenant systems.
  • Might know about algorithm development for intensive pipeline processing systems.
  • Might understand of how to design and develop from a Security Perspective.
  • Might know how to identify, select, and extend 3rd Party Components (Commercial or Open Source) that provide operational leverage but does not constrain our product and engineering creativity.


  • Event Bus and Event Sourcing capabilities that provide business and engineering leverage and efficiencies.
  • Highly scalable and crazy performant search systems.
  • Transactional or eventually consistent stores that provide wellencapsulated domain object semantics.
  • Orchestrated scaleout data pipelines that can leverage serverless and containerized compute that balances cost, latency, and duration.
  • Algorithmically intensive data engines that operate on streaming, large, or multitenant datasets.