W1siziisimnvbxbpbgvkx3rozw1lx2fzc2v0cy9jbnrlbgxldgvjig5ldy9qcgcvbmv3lwjhbm5lci1kzwzhdwx0lmpwzyjdxq

Senior Software Engineer - Remote

  • Location

    San Francisco

  • Sector:

    Software Engineering

  • Salary:

    $180,00-$300,000

  • Contact:

    Jason Rumney

  • Contact email:

    jason@intelletec.com

  • Job ref:

    AAJR03843

  • Consultant:

    Jason Rumney

Our client is a Series A data company with over $20 million in funding based in San Francisco. Their CEO/Founder sold his last company for over $400 million, due to rapid growth they are expanding their engineering team. The company is growing fast with over $10M ARR and is currently profitable. 

The company is based in San Francisco but about 50% of the team is remote (all in the U.S.). They get the entire company together in the same place every month.

About you:

  • Care deeply about democratizing access to data.  
  • Passionate about big data and are excited by seemingly-impossible challenges.
  • At least 80% of people who have worked with you put you in the top 10% of the people they have worked with.
  • You think life is too short to work with B-players.
  • You are entrepreneurial and want to work in a super fast-paced environment where the solutions aren’t already predefined.

Skills:

  • You have at least 6 years of relevant work experience.
  • Proficiency writing production-quality code, preferably in Scala, Java, or Python.
  • Strong familiarity with map/reduces programming models.
  • Deep understanding of all things “database” - schema design, optimization, scalability, etc.
  • You are authorized to work in the U.S.
  • Excellent communication skills.
  • You are amazingly entrepreneurial.
  • You want to help build a massive company.

Nice to haves:

  • Experience using Apache Spark to solve production-scale problems.
  • Experience with AWS.
  • Experience with building ML models from the ground up.
  • Experience working with huge data sets.
  • Python, Database and Systems Design, Scala, Data Science, Apache Spark, Hadoop MapReduce