R&D | Big Data Engineer


About the role

Smart mobility is about to revolutionize the way we live, work and commute – it’s sparked by vehicle connectivity with an eye forward to autonomous driving. In order to make it work seamlessly, it’s first got to be Secure and Safe – that’s where Upstream Security comes in. We’ve created the world’s first and only cloud-based cybersecurity solution designed specifically for Smart Mobility, and already trusted by over a million connected vehicles worldwide.


We are looking for a talented Big Data Engineer, who will work closely with the research team and developing the company’s core technology.
You will develop cutting edge security and analytics software, research and analyze large scale mobility data, and develop big data tools that will be a core part of the company’s innovative security solution.


If you are talented, hardworking individuals with great energy, leadership, and initiative to drive awareness for our Platform- we want to hear from you!


  • Design and implement Upstream’s big data analytics framework based on Spark
  • Work closely with the research team to design and implement ML, models and algorithmic solutions
  • Develop Upsteam’s core data-pipeline infrastructure based on Kafka
  • Develop our core processing and detection engine
  • Microservices development deployed on K8S
  • Write in Scala

Experience and Skills

  • BSc. degree in Computer Science or Army tech unit (top graduate)
  • 3 - 7 years of development experience
  • Deep understating of OOP principles and design patterns
  • Experience with Relational database and writing SQL queries
  • At least 2 years of experience in Java/Scala programming
  • Experience in developing and deploying robust, large-scale distributed systems
  • Experience with Spark or equivalent big data analytics framework – Advantage
  • Experience with Kafka or equivalent - Advantage
  • Deep understanding software engineering principles
  • Motivated, fast learner and independent
  • A team player, excellent collaboration skills