Posted Apr 07
Sift Science

Site Reliability Engineer @ Sift Science

San Francisco, CA, United States Full Time

Who are we?

We leverage massive scale machine learning and our global network of data predicts fraudulent behavior with unparalleled accuracy. Having seen strong traction from customers like Airbnb, Yelp, OpenTable, Twitter, and hundreds more, we are rapidly expanding in all departments! Launched & run by ex-Googlers and top executive staff with diverse backgrounds, we are looking to add very strong talent to the team. Our investors include First Round, Union Square Ventures, Spark Capital and Insight Venture Partners.

What are we working on?

The 20+ members of our engineering team are building:

  • Highly Scalable, Distributed Microservices that can handle hundreds of millions of events per day
  • Machine Learning Pipeline leveraging Kafka & Spark
  • 100+ Node HBase & ElasticSearch Cluster that stores Petabytes of global fraud data
  • Distributed Workflow Systems that automate our key customers’ business processes
  • Highly interactive UI leveraged by thousands of fraud analysts around the globe using React.js, ES6, and D3.js.

Who are you?

You are a jack of all trades and very good at a number of things. You pride yourself on creating/running high-availability, low-latency environments, are all about automating, and know your way around a container. You like helping your teammates whichever way you can, removing blockers, designing things together on a whiteboard, or just being a rubber duck. You love to keep track of various advancements in technology, and are always looking to bring innovation back into your team. Finally, you have been looking for an opportunity where you can leverage your passion and skills for good (in Sift Science’s case, helping to eliminate fraud on the internet).

Our ideal candidate has:
  • 5+ years as an individual contributor in SRE
  • Ability to code in at least one or more of the following languages: Java / C# / Javascript / Go / Python / Node.js
  • Experience deploying to and optimizing for cloud-based platforms such as AWS
  • Knowledge of and experience with containerization
  • Prior success automating at scale
  • Experience working across the organization - sales, marketing, support, etc.
  • Familiarity with Hadoop / MapReduce and distributed databases such as HBase / Cassandra.

Bonus points for:

  • BS in Computer Science or related field
  • Extensive experience using large-scale NoSQL databases like HBase or Cassandra
  • Experience working across the organization - sales, marketing, support, etc.
  • Strong knowledge of data structures, distributed algorithms, and asynchronous architectures
  • Solid understanding of relational database modeling and design, including experience building data-intensive applications

Why you should work here:
  • Supportive, collaborative, mission-driven, small-team environment
  • The ability to work with big-name clients
  • Lunch and dinner are provided daily
  • Comprehensive benefits (health, vision, dental, commuter, 401k)
  • Monthly gym membership reimbursement
  • We’re at a critical point in our growth and would love to have you join us in this adventure!

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