About the team:

As Applications and Customer Experience Platform teams, we bridge the gap between our complex machine learning technology and serving our customers’ business needs. We provide a seamless way to gain insights, perform manual review, and navigate the ever-changing world of fraud-fighting. We provide customer-facing automated workflow tools and a web application that distills complex ML signals, all running on a highly-available multi-service architecture. We’re also responsible for providing third-party extensibility points, giving our customers simple ways to use our product within their current work streams. Together we provide the platform that makes high-volume streams of data understandable, actionable, and usable.

What we’re looking for:

We’re looking for an experienced backend software engineer to help drive our product forward, helping to shape our architecture and sharpen our toolset as we scale up for our enterprise customers.  

 

Great candidates will bring experience in taking your ideas from concept to customer at scale, with high quality, and on time.  You thrive on high-growth, high-impact opportunities at a growing startup.  You have a clear sense of how you can leverage your strengths and past experience while learning new things.  You excel at distilling simplicity from complexity and creating order from ambiguity.

 

What you’ll do:

  • Partner with Engineering Leadership and Product Management to determine the right balance of scope and schedule, as we build industry-leading services

  • Collaborate with other members of the team as we continue building industry-leading products to promote digital trust and safety

  • Lead the way in creating/improving our forward-looking service and platform architecture

  • Evaluate technology that we will use to scale our business and metrics to scale to our next level of enterprise customer

  • Proactively drive improvements to our engineering practices

 

What would make you a strong fit:

  • 5+ years experience designing/delivering highly-available services

  • Experience in creating succinct, performant, and easily readable code in Java

  • Experience with RESTful services

  • Strong Awareness of customer needs and the user experience

  • Strong communication & collaboration skills - a team-first, product-first mindset

Nice To Have:

  • Familiarity with cloud infrastructure (e.g. GCP, AWS)

  • Familiarity using large-scale NoSQL databases like HBase or BigTable

  • Familiarity with distributed systems and/or highly scalable, customer-facing applications

Technologies we use:

  • Java, Python, JSON, RESTful APIs, Dropwizard, Postgres, MongoDb, GCP, Elasticsearch, Kafka, BigTable, BigQuery, Redshift

A little about us:

Sift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

  • Competitive total compensation package
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Paid time off and holidays 

Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.

This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy

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