Senior Staff Software Engineer

A fast-paced, innovative startup empowering people to rapidly transform complex data into actionable insights is looking for a Senior Staff Software Engineer. The engineer will work with the storage engineering team building Apache Ozone and get involved in the design and implementation of the core feature set of the platform. The company provides a hybrid data platform with secure data management and is committed to advancing digital transformation for the world's largest enterprises. This job presents an exciting opportunity to work with the best and brightest in the industry.

Job Responsibilities:

• Perform primary storage and storage access layers which are core to the company’s data platform
• Be involved in the design and implementation of the core feature set of Apache Ozone and Apache Ratis (open-source RAFT implementation)
• Contribute to the development of HDFS, one of the world’s most widely deployed distributed storage systems
• Build a new distributed storage system and create a huge impact on the big data and cloud computing industry

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 7+ years of relevant experience as a software engineer
• Prolific experience with C++ and Java 
• Hands-on experience with a good knowledge of data structures and CS algorithms
• Demonstrable experience with large-scale, distributed systems design and development
• Solid understanding of scaling, replication, consistency, and high availability
• Prior experience with system software design and development with an understanding of computer architecture, storage, network, and IO subsystems
• Clean coding habits, attention to detail, and focus on quality
• Excellent oral and written English communication
• Nice to have experience in a distributed storage system, including file systems, database storage internals, NoSQL storage, or distributed hash tables
• Solid background in performance tuning, identifying performance bottlenecks and implementing performance optimizations
• Good understanding of Apache Hadoop
• Experience with open source projects is preferred 
• Experience using projects in the Apache Hadoop ecosystem, such as MapReduce, HBase, Hive, Spark, etc., is a big plus
• Understanding of Paxos, RAFT, or equivalent distributed consensus protocols
• Fluent in verbal and written English