Senior Software Engineer - Streaming Data (Remote)

United States (Remote);

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Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. Working with some of the industry’s most recognizable retailers and brands, we are focused on using technology to enhance customer lifetime value and protect enterprises from fraud so they can focus on growing their business. 

We process billions in ecommerce transactions annually through our Commerce Network of thousands of merchants selling in more than 100 countries. We focus every day on harnessing machine learning and artificial intelligence in more powerful ways to maximize our customers’ revenue and their security. None of that happens without the right people.

Our team’s strength is in its diversity and its acceptance of new ideas and new ways to look at old challenges. We are dedicated disruptors designing a new world of commerce at scale. We know humans are not one-dimensional and we celebrate the uniqueness each individual brings to the problems we solve and the culture we create.

We are looking for a Senior backend engineer who is committed to producing frameworks that allow us to access our data in new and powerful ways. We want someone who loves to learn, and who will grow with the company.

What we’d like to see:

  • 4 year college degree in a relevant field or equivalent work experience
  • 3+ years of experience in modern software engineering
  • 2+ years of experience working on a streaming event processing platform.
  • Expertise in “Big” data algorithms and techniques, especially in using Flink or streaming platforms to create custom data representations.
  • Knowledge of a modern general programming language, preferably Java or Scala
  • Quick and eager to learn

Bonus skills:

  • Knowledge of the Machine Learning ecosystem, especially frameworks like h2o, TensorFlow, Kubeflow, and pandas
  • Able to spin up infrastructure in cloud environments with tools like Terraform
  • Working knowledge of container orchestration tools like Kuberentes

Our stack includes:

  • Java, Python, Typescript, and Scala 
  • Kubernetes, Docker, Spark, Flink, Linux
  • ElasticSearch, Kinesis, Cassandra, MySQL
  • AWS (including Kinesis, RedShift, Dynamo)
Job region(s): North America
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