Sift Science: Site Reliability Engineer @ Sift Science

(San Francisco, CA) 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 dayMachine Learning Pipeline leveraging Kafka & Spark100+ Node HBase & ElasticSearch Cluster that stores Petabytes of global fraud dataDistributed Workflow Systems that automate our key customers’ business processesHighly 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 SREAbility to code in at least one or more of the following languages: Java / C# / Javascript / Go / Python / Node.jsExperience deploying to and optimizing for cloud-based platforms such as AWSKnowledge of and experience with containerizationPrior success automating at scaleExperience 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 fieldExtensive experience using large-scale NoSQL databases like HBase or CassandraExperience working across the organization - sales, marketing, support, etc.Strong knowledge of data structures, distributed algorithms, and asynchronous architecturesSolid understanding of relational database modeling and design, including experience building data-intensive applicationsWhy you should work here:Supportive, collaborative, mission-driven, small-team environmentThe ability to work with big-name clientsLunch and dinner are provided dailyComprehensive benefits (health, vision, dental, commuter, 401k)Monthly gym membership reimbursementWe’re at a critical point in our growth and would love to have you join us in this adventure!Apply:

Apply

Source: Clevertech