Lead Front-End Integrations Consultant - Elastic

Elastic — Company based in Mountain View, CA

via Stack Overflow Careers

At Elastic, we have a simple goal: to solve the world's data problems with products that delight and inspire. As the company behind the popular open source projects — Elasticsearch, Kibana, Logstash, and Beats — we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. We unite Elasticians across 30+ countries (and counting!), 18 timezones and 30 different languages into one coherent team, while the broader community spans across over 100 countries.

We're searching for a lead App & Search focused Consultant who will have a heavy focus on front-end integration with our Elastic Swiftype customers. As such, interaction with various web technologies will be required in order to deliver a full solution involving this technology.

You 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 on the success of Elastic and our customers.

What You Will Be Doing:

  • Developing and implementing search UI using JavaScript and JavaScript libraries on top of the Elastic Swiftype Search APIs (both Site and App Search)
  • Communicating with clients and colleagues to troubleshoot websites and optimize performance
  • Delivering Elastic solutions to drive customer business value from our products
  • Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
  • Strong customer advocacy, relationship building, and communications skills
  • Comfortable working remotely in a highly distributed team
  • Developing of demos and proof-of-concepts that highlight the value of the Elastic Stack
  • Data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale
  • Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions, and product defects
  • Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

  • 5 years experience in a relevant role
  • JavaScript, HTML, CSS coding knowledge
  • Experience with multiple modern and legacy web development frameworks and CMSs
  • Able to quickly learn new products
  • REST-Based API Knowledge
  • Actively Seek New Programming Knowledge
  • Hands-on experience and an understanding of Elasticsearch and/or Lucene
  • Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
  • 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 open-source technology and knowledge and proficient in at least one programming language
  • Hands-on experience with large distributed systems from an architecture and development perspective
  • Knowledge of information retrieval and/or analytics domain
  • Ability to travel up to 65% of the time
  • Understanding of Linux, Java and databases

Bonus Points:

  • Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
  • React, Angular, Node.js, Python, Ruby, RUM, or GoLang coding experience
  • BS, or MS in Computer Science or related engineering discipline
  • Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
  • Experience and interest in delivering and/or developing product training
  • Experience contributing to an open-source project or documentation