Consulting Architect, Observability
ElasticAbout the role
Elastic is a free and open search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real-time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co.
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 an Observability Technical Consultant, you have an amazing chance to make an immediate impact on the success of Elastic and our customers.
What You Will Be Doing:
- Deliver Elastic solutions and elastic stack expertise to drive customer business value from our products
- Facilitate strategy, roadmap, design, and capacity planning in mission-critical environments workshops
- Strong customer advocacy, relationship building, and communications skills
- Comfortable working remotely in a highly distributed team
- Development of demos and proof-of-concepts that highlight the value of the Elastic Stack and Solutions
- Elastic solutions adaption and acceleration along with data modeling, query development and optimization, cluster tuning and scaling with a focus on fast search and analytics at scale
- Drive and manage the objectives, requirements gathering, project tasks/milestone, project status, dependencies, and timelines, to ensure engagements are delivered successfully and on time while meeting the business objectives
- Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions, and product defects. Facilitate feedback from field back to the product.
- Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
What You Bring Along:
- Minimum of 5 years’ experience as a Technology Consultant, Software Engineer, System Administrator, or DevOps Engineer.
- Minimum 3 years as a Observability Engineer or Observability Architect
- Time series data ingestion
- Ingestion methods (Agent, Filebeat, and Logstash)
- Familiarity with messaging queues (Kafka, Redis)
- Ingest optimization and sharding strategy
- Ingest lag troubleshooting
- Data parsing and normalization
- Fleet/Agent setup and configuration
- Agent policies
- Fleet scalability
- Knowledge in deploying enterprise observability solutions at scale (Application performance monitoring (APM), User experience monitoring (UEM), Infrastructure optimization, Network visibility and monitoring)
- Experience leading observability projects at both the architectural and program level
- Experience working with monitoring tools that integrate into service management
- Bachelor’s, Master’s or PhD in Computer Science or related engineering discipline preferred, or equivalent combination of education, training, and experience
- Experience working as a consultant, working to deliver and execute on professional services engagements
- Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
- Hands-on experience and an understanding of Elasticsearch and/or Lucene
- 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 proficiency in at least one programming language
- Strong hands-on experience with large distributed systems and application infrastructure from an architecture and development perspective
- Knowledge of information retrieval and/or analytics domain
- Understanding and/or certification in one or more of the following technology Kubernetes, Linux, Java and databases, Docker, Amazon Web Service (AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM’s, Lucene
- Occasional travel may be required.
Bonus Points:
- Big 4 Experience
- Deep understanding of Elasticsearch, including Elastic Certified Engineer certification
- Deep understanding of Ansible, JavaScript
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