Staff Software Engineer

Signifyd

Austin, TX, US
  • Job Type: Full-Time
  • Function: Engineering Software
  • Post Date: 03/04/2021
  • Website: signifyd.com
  • Company Address: 2540 North First St, 3rd Floor, San Jose, CA, 95131

About Signifyd

Signifyd, the world’s largest provider of guaranteed fraud protection, enables online retailers to provide a friction-free buying experience for their customers. Signifyd leverages big data, machine learning and domain expertise to provide a 100 percent financial guarantee against fraud on approved orders that later turn out to be fraudulent.

Job Description

Signifyd leads the world in bringing the insights, innovation and compassion required to foster fearless commerce in a time of increasing digital threats. We process more than $100 billion in ecommerce transactions annually through our Commerce Network of more than 10,000 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 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’re looking for a Staff Software Engineer that will inject new ideas and energy into our Engineering culture. We’re developing cutting edge technology at Signifyd, and we want help in building it and pushing it further. We are looking for a partner in technical design who is passionate about building a world class organization.

We want someone who can code with the best, and design high availability, low latency systems.

Our main tech stack includes: Java, Typescript, Cassandra, ElasticSearch, Redshift, MySQL, Apache Spark, Flink, gRPC, Linux, Docker, Kubernetes, AWS

Requirements:

  • Minimum 7+ years of relevant software development experience
  • Best in class programming skills across multiple language paradigms
  • Ability to understand product requirements and develop innovate solutions across the full technology stack.
  • Highly developed problem-solving skills
  • Excellent communication skills

Bonus Skills:

  • Experience with machine learning technologies.
  • Ability to build and maintain CI/CD pipelines.
  • Knowledge of big data technologies, especially Flink.
  • Experience building large-scale low latency and highly available systems
  • Startup experience
  • Meaningful contributions to open source projects

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.