Software Developer 3

Oracle Oracle · Enterprise · Austin, TX +1

Software Developer 3 role on the Oracle Cloud Infrastructure (OCI) Security Data Platform team. The role involves designing and developing full-stack, cloud-based web services, productizing machine learning models and workflows, and collaborating with ML scientists and researchers to detect and remediate cyber-threats. Requires experience in large-scale distributed systems, Java/C#/C++, Python, Big Data tools, and data scalability for ML models.

What you'd actually do

  1. Design and develop full stack, cloud based, web services solutions with high degree of scalability, reliability and availability.
  2. Productizing machine learning model and workflows on the cloud infrastructure
  3. Extensive collaboration with research and engineering teams to deliver complex large scale projects
  4. Show initiative and enthusiasm in tackling challenging problems with innovative designs

Skills

Required

  • 3+ years of experience in software design, development and operation of large scale distributed systems
  • Solid programming skills in Java or C#/C++, and experience with scripting languages such as Python
  • Experience in designing, implementing, and managing high scalable/available/reliable distributed service/system
  • Experience with relational and non-relational (NoSQL) databases
  • Experience with Big Data tools/pipelines: Hadoop (Pig, Hive), Spark, or other Big Data systems
  • Experience with data scalability issues and impact to trained ML model performance
  • BS or MS in Computer Science, or equivalent experience

Nice to have

  • Experience in productizing Machine Learning (ML) workflows is a plus
  • Effective communication skills and ability to work in a collaborative environment
  • Advanced critical thinking and problem solving abilities

What the JD emphasized

  • Productizing machine learning model and workflows on the cloud infrastructure
  • Experience with data scalability issues and impact to trained ML model performance
  • Experience in productizing Machine Learning (ML) workflows is a plus

Other signals

  • Productizing machine learning model and workflows on the cloud infrastructure
  • Experience with data scalability issues and impact to trained ML model performance
  • Experience in productizing Machine Learning (ML) workflows is a plus