Consulting Architect - Observability

You will have the opportunity to work with a tremendous services engineering and sales team while wearing many hats and collaborating cross-functionally across the organization. This is a meaningful role as an Observability Architect 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 sizing in workshops. You will apply your soft skills to advocate for your customers build relationships and exhibit strong communications skills. Comfortability working remotely in a highly distributed team. Your activities will include development of demos and proof-of-concepts that highlight the value of the Elastic Stack and solutions other topics will include 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.

Daily tasks include driving and handling the objectives requirements gathering project tasks project status dependencies and timelines to ensure engagements are delivered optimally and on time while meeting the business objectives. Work across teams with engineering product management and support teams to identify feature improvements extensions and product defects. Facilitate feedback from field back to the product. Engage 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 Along:

• Minimum 5 years as a consultant engineer or architect

• Experience in time series data ingestion. End to End Ingestion methods (Agent Beats and Logstash).

• Familiarity with messaging queues (Kafka Redis).

• Ingest optimization data streams and sharding strategy

• Ingest lag analysis and improvement. Elastic Common Schema knowledge 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

• 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

• Bachelor’s Master’s or PhD in Computer Science or related engineering field preferred or equivalent combination of education training and experience

• 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

• Hands-on 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 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 - 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 open-source project or documentation