Job Posting: Major League Baseball Full Stack Software Engineer (Baseball Data)

Position: Full Stack Software Engineer (Baseball Data)

Location: San Francisco, CA

Major League Baseball is looking for experienced Software Engineers that are passionate about building new technologies for the baseball industry. Launched in 2001 as the tech arm of Major League Baseball, MLBAM is now a leading authority in real-time sports data processing, distribution and analysis.

The Baseball Data team is the central data hub for MLB. Using cutting edge technology, their data is consumed by fans, broadcasters, stadiums, and MLB teams. Their team’s primary product line is Gameday, Statcast and Pitchcast. You can find more information about Statcast here.

The Opportunity:
As a Senior Software Engineer, your primary responsibilities will be to write clean, concise, modular code in an agile environment, mentor developers and provide code reviews.

You’ll also:

  • Lead and take ownership of critical projects and your own initiatives.
  • Work on a great technology stack including HTML5, Javascript, React, SQL, Java 11+, Spring, Scala and more.
  • Introduce the technologies you feel passionate about.
  • Collaborate with a team of extraordinary engineers and technologists.
  • Influence the innovation of products used by millions of users worldwide.
  • Work alongside top data scientists on data analysis, machine vision and NLP.
  • Participate in the full lifecycle of software development (requirements gathering, designing, building, testing and maintenance).
  • Change the way baseball is consumed.
  • Receive amazing benefits – you get 100% employer-paid Medical, Dental and Vision.

You have:

  • 5+ years of experience using front end technologies: JavaScript, React, HTML5, CSS3.
  • Experience using JVM languages (Java, Scala, Kotlin…).
  • Experienced building large and scalable applications.
  • An avid learner, independent with excellent problem-solving skills.
  • Passionate about mentoring peer developers, providing code reviews, etc.
  • Baseball fan.

Preferred, but not required:

  • Exposure to Google Cloud Platform or Amazon Web Services.
  • Familiar with messaging queues: ActiveMQ or RabbitMQ or similar
  • Experience with SQL databases
  • Understanding of big data concepts and knowledge of big data languages/tools such as Hadoop, Kylin, or Spark
  • Experience with 3D modeling and statistical analysis of 3D models

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by Major League Baseball.

Meg is the managing editor of FanGraphs and the co-host of Effectively Wild. Prior to joining FanGraphs, her work appeared at Baseball Prospectus, Lookout Landing, and Just A Bit Outside. You can follow her on twitter @megrowler.

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