Senior Consultant

10 hours ago

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GridGain

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In-Memory Computing • In-Memory Data Grid • Apache Ignite • Stream Processing • High Performance Transaction Processing

51 - 200

Description

• Provide advisory services and help GridGain customers architect the right solution to their business use-cases by building and utilizing your deep understanding of big data and in-memory computing technologies. • Architect, implement and configure the GridGain platform on customer sites to support the required performance, scale, reliability and availability. • Apply your deep hands-on Java development and database programming experience to identify and debug performance bottlenecks at the JVM level or data model and query level to achieve desired performance throughput. • Help customers get to the root cause of unexpected platform behavior and debug/resolve complex technical issues. • Build a mutually trustworthy relationship with GridGain customers based on deep understanding of their business drivers, strategic goals, technical challenges and your desire and ability to provide the optimal technical advice and guidance. • Work closely with Product Management, Engineering and Customer Support staff to identify, document and help resolve technical issues and product feature/functionality gaps. • Support and help grow the open-source community through your participation in meet-ups, design/code camps and technical speaking engagements. • Be available during business hours to meet deadlines and client needs, coordinate with co-workers, attend conference calls and/or face-to-face meetings, and handle day-to-day operations necessary for the position.

Requirements

• Deep hands-on experience writing complex, distributed, multi-threaded JEE applications • Experience architecting and implementing highly scalable, highly transactional, multi-datacenter and secure applications • Hands-on experience in working with various RDBMS, NoSQL, NewSQL technologies, including but not limited to Apache Ignite, Apache Spark, Hadoop, MongoDB and 3rd party platforms like DataStax, DataSynapse, etc. • Solid understanding of web services, micro-services architecture, messaging platforms and technologies • Experience with DevOps tools and methodologies as well as various security protocols, design patterns and technologies • Familiarity with cloud-based architectures and deployments in AWS, Azure or other public/private cloud infrastructures • Development experience in Agile and waterfall methodologies • Solid problem solving, analytical abilities, consulting and presentation skills with the ability to communicate effectively at all levels of business and in a global and regional team environment • Strong customer focus and relationship management skills • Self-organized and able to thrive under pressure