Assistant Director - Senior Software Engineer (Big Data)

Less than 5 years experience  •  Financial Services

Salary depends on experience
Posted on 09/22/17
San Francisco, CA
Less than 5 years experience
Financial Services
Salary depends on experience
Posted on 09/22/17


  • You will join the early stage of projects and participate in defining the platform for the next generation products
  • You will build API and processing pipeline for multi-tenant, high-volume, and real-time system on Spark and Hadoop platform
  • You will transform complex analytical models into scalable, production-ready solutions
  • You will continuously integrate and ship code into the cloud environment
  • You will develop applications from ground up using a moderntechnology stack such as Scala, Spark, Postgres, Angular 2, Play, and NoSQL
  • You will participate in defining the architecture of modern tools and runtime for operating your code such as AWS, Docker, Puppet, and Terraform
  • You will work directly with Product Owners to deliver products in a collaborative and agile environment


Enterprise Risk Solutions Who you are:

  • You are passionate to be part of cutting edge projects and are motivated by delivering world-class products with great architecture on an aggressive schedule
  • You are not intimidated by challenges; thrives even under pressure; is passionate about your craft; and hyper focused on delivering exceptional results
  • You love to learn new technologies and mentor junior engineers to raise the bar on your team
  • You use, or are passionate about learning, functional programming, AWS, Docker, Spark, Alluxio, Scala, Akka, Kafka, Cassandra, ElasticSearch, Hadoop, Yarn, and Mesos – and anything else that will help you solve big, messy problems

Basic Qualifications

  • Work experience 1-5 year
  • Bachelors or higher in Computer Science, Mathematics, or other relevant field
  • Expert level knowledge of JVM and OOP – previous experience in Java would be good.
  • 1 + years of experience in Scala or other functional languages
  • Experience in Hadoop stack: HDFS, Spark, NoSQL
  • Experience in designing API and documenting through Open API/Swagger
  • Experience in Unix/Linux including basic commands and scripting
  • Strong knowledge of source control systems and best practices (Git, Merging, Branching, Pull Requests, etc.)
  • Strong knowledge and understanding of algorithm optimization and distributed systems
  • Solid understanding of continuous integration, deployment and monitoring
  • Excellent communication skills


  • Designing mission-critical system using AWS, Docker, microservices architecture

Our Stack
At Moody’s, we believe in using the right tool for the right job, and we are eager to use the best that the open source world has to offer. We practice agile development with fast iterations, continuous integration, automated testing and build process.
• Scala, SBT, Play, Swagger
• Angular 2, Typescript
• Spark, HDFS, Yarn, Postgres, Cassandra, Redshift
• Node, Wepback and NPM
• ScalaTest, Karma/Jasmine for Unit Testing
• Robot and Selenium for Integration Testing
• Git
• Puppet, Terraform, Packer
• AWS, Docker


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