Remote Consulting Architect at Elastic Open Startup
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Elastic


Consulting Architect

Consulting Architect


Elastic


consulting

 

architecture

 

consulting

 

architecture

 
This job post is closed and the position is probably filled. Please do not apply.
\nElastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security and analytics use cases. Founded in 2012 by the people behind the Elasticsearch, Kibana, Logstash, and Beats open source projects, Elastic's global community has more than 50,000 members across 45 countries, and since its initial release, Elastic's products have achieved more than 50 million cumulative downloads. Today thousands of organizations like Cisco, eBay, Dell, Goldman Sachs, Groupon, HP, Microsoft, Netflix, NY Times, Uber, Verizon, Yelp, and Wikipedia use the Elastic Stack, X-Pack, and Elastic Cloud to power mission critical systems that drive new revenue opportunities and massive cost savings. Elastic is backed by $104 million in funding from Benchmark Capital, Index Ventures, and NEA; has headquarters in Amsterdam and Mountain View, California; and has over 300 employees in over 30 countries around the world.\n\nYou will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact to the success of Elastic and our customers.\n\nResponsibilities\n\n\n* Deliver Elastic solutions to drive customer business value from our products\n\n* Solution design, development, and integration on Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments\n\n* Requirements gathering, architectural design, integrating with other enterprise technologies, and documenting solutions\n\n* Strong customer advocacy, relationship building, and communications skills\n\n* Comfortable working remotely in a highly distributed team\n\n* Development of demos and proof-of-concepts that highlight the value of the Elastic Stack\n\n* Data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale\n\n* Technology workshops that include hands-on mentoring, whiteboarding, and solution development\n\n* Solving our customers’ most challenging data problems\n\n* Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions, and product defects\n\n* Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns\n\n* Mentoring Elastic team members on new technology and solutions\n\n\n


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