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Lead Big Data Product Engineer – Spark at Bigstream
Mountain View, CA, US

The Bigstream Product Engineering team is looking to welcome a new, talented programmer to work as a Lead Big Data Product Engineer for the world’s first hyper-acceleration (CPUs + GPUs + FPGAs) platform for Big Data, Machine Learning and AI workloads. This is cutting edge technology that uses a powerful combination of acceleration techniques to squeeze every last ounce of performance from each application and from every node in the cluster. Several patents having been granted with more pending.  This is a place that you can make a huge difference.

This position will be a key member in building, fine-tuning and optimizing the performance of Bigstream’s technology stack.

Responsibilities:

  • Architect acceleration solutions for Bigstream
  • Be responsible for full software development lifecycle – design, development, testing, operating in production
  • Communicate effectively within and across teams
  • Operate in an Agile development environment

Requirements:

  • 4+ years of development experience with Apache Spark runtime
  • Expertise in Scala, Java; C++11 or higher is a plus
  • Experience in architecting, developing, deploying and operating large scale distributed systems
  • Experience with cloud APIs (e.g., a public cloud such as AWS, Azure, GCP or an advanced private cloud such as Google, Facebook)
  • Experience working on a SaaS platform or with Service Oriented Architectures
  • Good knowledge of Linux OS
  • Experience with API development
  • Good knowledge of SQL
  • Experience with software security and systems that handle sensitive data
  • Exposure to container technologies, such as Docker
  • Experience with Continuous Integration/Continuous Deployment frameworks

Bigstream welcomes people from diverse backgrounds and perspectives in all functions of the business.