Software Engineer - Hadoop Development Splunk

Job Description: That's a cool job! I want it!
You may know that Hadoop is changing the Big Data landscape. What you may not know is how Splunk is as well, and the marriage of the two
technologies presents a game-changing advancement in the
state-of-the-art.
We're looking for an innovative software engineer to architect, design, develop, test, and advance sophisticated data and workflow integration between Splunk¹s machine data search and indexing technology, and the Hadoop ecosystem of technologies. You should thrive on the rapid pace of innovation in the big data arena, and the ability to seek integration opportunities that provide an order of magnitude of value in the form of faster development, increased flexibility to change, higher-throughput of data processing, increased reliability, richer exploration, and analysis/utilization of data insights.
Responsibilities: I want to and can do that!

• BLeverage extensive theoretical and practical expertise to transform research from interesting ideas into high-value solutions
• Be a key contributor to the Hadoop and data clustering initiatives at Splunk
• Includes architecture, design, analysis of strengths/weaknesses of competing approache
• Includes development/implementation of features, especially around optimization and performance for distributed system
• Principle lead on Performance, Scalability, and Reliability aspects of Splunk/Hadoop solution
• Principle lead for advanced monitoring/analysis solutions for Hadoop
• Research on technology opportunities for Splunk/Hadoop and other big data solutions
• Develop demos, and presentations of applying Splunk and Hadoop to a variety of ³big data² use cases, including advanced analytics

Requirements: I've already done that or have that!

• 2+ years of industry experience
• Expertise of advanced analytical techniques such as: machine learning, markov models, beysian classification, k-means clustering, etc.
• Ability to bridge the gap between theory and application, and speak to both perspectives
• Significant research experience in the area of Big Data and Hadoop, especially concerning distributed computing optimizations
• Strong enterprise Java (or other OOP language) knowledge, and track record of delivering innovative solutions to tough problems
• Thrives on big data challenges of large volumes, at high velocity, with extreme variability
• Competency with a variety of traditional data technologies including RDBMS, ETL, Data Warehousing, BI, OLAP, OLTP
• Experience with new generation technologies, such as Hadoop, HBase, Hive, Cassandra, MongoDB, etc.
• Experience with a range of scripting technologies, including python, ruby, etc
• Experience with deployment, operations, and management issues for complex distributed data systems
• Strong communication skills, both verbal and written
• Dedication to testing as an essential part of software engineering practice
• Passionate about open source, including the ability to identify opportunities for Splunk in the ecosystem

Education: Got it!

• Masters in Computer Science or equivalent experience, PhD preferred

About Splunk:
Splunk was founded to pursue a disruptive new vision: make machine data accessible, usable and valuable to everyone. Machine data is a fast growing and pervasive part of “big dataâ€-- generated by every component of IT infrastructures, applications, mobile phone location data, website clickstreams, social data, RFID and much more.
Splunk is focused specifically on the challenges and opportunity of effectively managing massive amounts of machine data, and providing a next-generation platform for powerful new applications. Since shipping its software in 2006, Splunk now has almost 3,000 customers in over 70 countries around the world. These organizations are using Splunk to harness the power of their machine data for application management, IT operations and infrastructure management, cyber security, compliance, web intelligence, business analytics and more. Innovation is in our DNA â€" from technology to the way we do business.
Splunk software has become a platform for machine data!
Splunk now has over 400 employees worldwide, with headquarters in San Francisco, an office in Cupertino, CA and 8 offices around the world.
We've built a phenomenal foundation for success with a proven leadership team, highly passionate employees and unique patented software. We invite you to help us continue our drive to define a new industry and become part of an innovative, and disruptive software company.

Benefits & Perks: Wow! This is really cool!
Health Care, full company paid Dental, Vision and Life Insurance, flexible spending and dependent care accounts, Commuter benefits, PTO and sick leave, 401K, 3 weeks vacation, 2 completely stacked micro kitchens, catered lunches on Monday and Bagel Fridays, basketball hoops, ping pong, bbqs, soccer, ski trips, on-site yoga classes, health fairs.
This isn't a job â€" it's a life changer â€" are you ready?
To all recruitment agencies: Splunk does not accept agency resumes. Please do not forward resumes to our jobs alias, Splunk employees or any other company location. Splunk is not responsible for any fees related to unsolicited resumes.
Splunk is an equal opportunity/affirmative action employer supporting workforce diversity.­­­

Location:	United States