Roku.com - a well-known high-tech company that develops a high-end streaming hardware platform that connects the entire TV ecosystem around the world - is looking for an ambitious and motivated Senior Software Engineer. Their team’s mission is to build a world-class platform for data analytics and machine learning to fuel existing and new business-critical initiatives. The petabyte-scale platform supports near-real-time stream processing as well as large-scale batch processing. The company is engaging a Senior Software Engineer to the Data Platform team to contribute to this mission.

The work company does can be challenging, but that’s why everyone in the team enjoys it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. The industry changes quickly, so they expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.

RESPONSIBILITIES:

• Scratch-build a highly scalable, available, fault-tolerant data processing systems using AWS technologies, HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, and other big data technologies.
• Low-level systems debugging, performance measurement & optimization on large production clusters.
• Participate in architecture discussions, advise on product roadmap, and support new projects.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.

WHAT YOU SHOULD HAVE:

• 5+ years professional experience as a data or software engineer.
• Experience in working with large scale/ high throughput/ multi-tenant distributed systems using two or more of the above technologies.
• Experience with Hadoop 2.x/YARN based platform.
• Experience with SQL and NoSQL databases.
• Solid software development skills in Java, C, C++, or Scala.
• Participate and contribute to constantly improving best practices in development.
• Be self-driven, take complete ownership of initiatives and make pragmatic technical decisions.
• BS in Computer Science; MS in Computer Science preferred.