Senior Software Engineer, Back-End Development Infrastructure 110 views

Coursera was founded by two computer science professors at Stanford with a vision of providing life-transforming learning experiences to anyone, anywhere. It is the world’s largest online learning platform for higher education. 190 of the world’s top universities and industry educators partner with Coursera to offer courses, Specializations, and degrees that empower over 40 million learners around the world to achieve their career goals. Over 1,800 companies use the company’s enterprise platform Coursera for Business to transform their talent. Coursera is backed by leading venture capital firms such as Kleiner Perkins Caufield & Byers, New Enterprise Associates, GSV Capital, International Finance Corporation, Laureate Education Inc., and Learn Capital.
Development Infrastructure is focused on providing a stable and scalable environment for Coursera’s product. This team builds and maintains core services that are used by other developers to build products and deploy products on top of. The infrastructure team is also responsible for AWS and storage solutions at Coursera. Engineering functions are divided into front-end and back-end.

Your responsibilities:

    • Design and implement scalable systems and infrastructures
    • Measure your work thoroughly, analyze results, and generate hypotheses to drive new product changes through A/B testing
    • Setup monitoring and testing of your APIs and services to better understand real time health of your products

Your skills:

    • Bachelors in computer science or relevant experience
    • 4+ years of experience working in a relevant software engineering role
    • Expertise in designing highly-scalable and performant micro-services and storage layers using common frameworks, languages, and infrastructure (e.g. Java, Play/Scala, MySql, Cassandra, Solr, Kafka)
    • Comfortable working in a fast-moving team environment (we deploy many times a day!)
    • Data-driven and strongly motivated by success and learnings through experiments and metrics analysis


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