What is The Role
You will have the opportunity to work with a tremendous services engineering and sales team and wear many hats. This is a meaningful role as a Consulting Architect Observability you have an outstanding chance to create 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
- Work with clients to facilitate strategy roadmap design and capacity planning in missioncritical environments workshops
- Strong customer advocacy relationship building and communications skills
- Comfortable working remotely in a highly distributed team
- Development of demos and proofofconcepts 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 optimally and on time while meeting the business objectives
- Working closely engineering product management and support teams to identify feature improvements 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
- Be a mentor to your team members.
What You Bring
- Bachelors Masters or PhD in Computer Science or related engineering field preferred or equivalent combination of education training and experience.
- Minimum 5 years as a consultant engineer or architect.
- Experiences in time series data ingestion.
- End to End Ingestion methods (Agent Beats and Logstash).
- Familiarity with messaging queues (Kafka Redis).
- Experiences in Ingest optimization data streams and sharding strategy.
- Experiences in Ingest lag analysis and improvement.
- Knowledge of Elastic Common Schema data parsing and normalization.
- Enable customer to adapt Elastic Observability Solution and related OOTB features.
- Design and Build custom visual artifacts and understanding of key critical metrics that make valuable contributions to your customer. Identify thresholds for alerting.
- Familiarity with Fleet and agent installation policies and scalability considerations.
- Knowledge in deploying enterprise observability (Metrics and Logs) 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.
- Experience working to deliver and complete professional services engagements.
- Experience as a public speaker to large audiences on enterprise infrastructure software technology to engineers developers and other technical positions.
- Handson experience and an understanding of Elasticsearch and/or Lucene.
- Excel at working directly with customers to gather prioritize plan and implement solutions to customer business requirements as it relates to our technologies.
- Understanding and passion for opensource technology and knowledge and proficiency in at least one programming language.
- Strong handson 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 VMs Lucene.
- Occasional travel up to 20
Bonus Points:
- Big 4 Experience
- Deep understanding of our product including Elastic Certified Engineer certification
- Comfortable with Ansible JavaScript Terraform
- ECK experience or Kubernetes
- Knowledge of machine learning and Artificial Intelligence (AI)
- Proven understanding of Java and Linux/Unix environment software development and/or experience with distributed systems
- Experience and curiosity about delivering and/or developing product training
- Experience contributing to an opensource project or documentation
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