Python/Elixir Backend Software Engineer

Los Angeles, CA 90028

Employment Type: Perm Job Category: Web Developer Job Number: 19237


Our client  is a venture-backed startup focused on the latest in big data, natural language processing, and machine learning technologies to enhance recommendation systems. Their  platform integrates streaming service data with third-party and publicly available information to discover relevant content and novel relationships.

To execute our client' s  vision, we need to grow our team of best-in-class engineers. We are looking for developers who are excited about launching new products and features, who can work autonomously and aren’ t afraid to try new technologies, and who don’ t back down from the challenges of scale.

Duties and Responsibilities
  • Contributing meaningfully to core systems, from design thru implementation and
    maintaining ownership throughout development into production.
  • Ensuring overall stability and performance of high-volume transactions and distributed
    processes while scaling.
  • Investigating and implementing solutions for data ingestion, processing, and machine
  • Solving complex technical problems across all services and at all levels of the stacks.

Requirements for the Role
  • 3-5 years of production software development experience.
  • Experience with Jenkins and Terraform managed AWS infrastructure.
  • Experience with AWS services (ECR, Lambda, SQS, CloudWatch, Route53).
  • Hands on programming with Python; Elixir a plus.
  • Comfortable with support tools (Docker, Git, Bash, AWS CLI)
  • Production experience with ETL and asynchronous pipelines.
  • Experience with relational (Postgres/RDS) and NoSQL (DynamoDB) databases.
  • Demonstrated ability to actively participate in the design of complex systems.
  • Willingness to dive in on rapidly evolving challenges in a team environment.
  • Production network operations familiarity a plus.
  • Understanding of ML principles and NLP experience, Kaggle competitions a plus.
  • Experience with data science libraries (Scikit, NLTK, Gensim, TensorFlow, Keras).


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