Prepare for projects discussing the goals and expectations with the customer and building specifications
Researching best practices or components required for projects
Technical delivery of Elastic and Kafka solutions using Kubernetes based deployment models.
Solution design development and integration of Elastic & Kafka products and APIs platform architecture and capacity planning in missioncritical environments
Monitor upgrade patch and support Elastic & Kafka deployments.
Track tickets in support desk and project tasks in project boards.
Build strong relationships with customers.
Writing or editing documentation and knowledge bases
Data modeling query development and optimization cluster tuning and scaling
Solving customers data challenges
Engineering our solutions for automation using helm
Engaging with our Sales and PreSales teams to assist with solution scoping and identifying technical risks or concerns
Honing your skills by completing certifications on our product stacks.
Comfortable working remotely in a highly distributed team
Requirements:
Handson experience and an understanding of Elasticsearch and/or Lucene OR Apache Kafka. Having both would be a bonus.
Experience building and operating inproduction Big Data stream processing observability and/or enterprise data integration solutions
Minimum of 2 years experience as a Software Engineer System Administrator or DevOps Engineer
Knowledge of information retrieval and/or analytics domain
An understanding of deploying enterprise systems in a containerised environment preferably Kubernetes.
Experience operating Linux
Handson experience with large distributed systems from an architecture and engineering perspective
Good communication skills with an ability to clearly and concisely explain tricky issues and complex solutions
Excel at working directly with customers to gather prioritize plan and execute solutions to customer business requirements as it relates to our technologies
Understanding and passion for opensource technology
Experience helping customers build Apache Kafka solutions alongside relational and NoSQL databases message queues and related products
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