Lead Big Data Software Engineer Threat Intelligence Cloud

Palo Alto Networks is the next-generation security company maintaining trust in the digital age by helping tens of thousands of organizations worldwide prevent cyber breaches. With our deep cybersecurity expertise, commitment to innovation, and game-changing Next-Generation Security Platform, customers can confidently pursue a digital-first strategy and embark on new technology initiatives, such as cloud and mobility. We have achieved this by having devices on the network, agents on endpoint devices, and services in our cloud to detect and prevent malicious activities. The Threat Intelligence Cloud Team is looking for a

SENIOR-LEVEL BIG DATA SOFTWARE ENGINEER

responsible for developing and operating this big data distributed system platform. We are looking for an experienced hands-on Developer to be responsible for developing Palo Alto Network's AutoFocus. This is our contextual threat intelligence service that accelerates analysis, correlation, and prevention workflows. Unique, targeted attacks are automatically prioritized with full context, allowing security teams to respond to critical attacks faster, without additional IT security resources. If your passion is Big Data and you want to join us in building our next-generation security platform, then we want to hear from you! KEYS TO SUCCESS FOR THIS POSITION:

Experience working on Big Data computing systems like Hadoop MapReduce, Spark, etc. Real-time streaming like Kafka, Spark Streaming. No-SQL databases like HBase, Cassandra, etc., and working with ElasticSearch is a big plus. A successful candidate must have:

8+ years overall Software Development experience and 2+ years in developing large scale big data projects and/or distributed systems Hands-on experience with object-oriented languages like Java or C++ Ability to contribute technically to design and development Experience partnering with dev-ops for all operational aspects of the system Great communication skills and ability to work smoothly with cross-functional teams Hands-on experience working with large scale data ingestion, processing, and storage Master’s degree in computer science or related fields Preferred skills:

Hands-on experience with the Hadoop ecosystem, Spark, non-relational databases (NoSQL, MongoDB, Cassandra), messaging systems (Kafka, RabbitMQ). Comfortable building automation systems for quality control, builds, monitoring, and alerting Learn more about Palo Alto Networks

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