About The Position

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is the Role As a Consulting Architect – Observability, you will play a pivotal role in helping our customers realize the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience. You’ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximize the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Requirements

  • 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
  • Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
  • Knowledge of messaging queues (Kafka, Redis) and ingestion optimization strategies.
  • Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
  • Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
  • Familiarity with Elastic Common Schema (ECS), data parsing, and normalization.
  • Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
  • Hands-on expertise in distributed systems and large-scale infrastructure.
  • Ability to design and build dashboards, visualizations, and alerting thresholds that drive actionable insights.
  • Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
  • Strong communication and presentation skills, with experience engaging directly with customers.
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
  • Comfortable working in highly distributed teams, both remote and on-site when needed.
  • May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

Nice To Haves

  • Elastic Certified Engineer certification or deep expertise with Elasticsearch/Lucene.
  • Big 4 consulting or equivalent professional services experience.
  • Experience with Ansible, Terraform, JavaScript, ECK/Kubernetes.
  • Knowledge of machine learning or AI applied to observability.
  • Experience contributing to open-source project or documentation.
  • Public speaking experience at conferences, meetups, or enterprise workshops.

Responsibilities

  • Translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
  • Lead end-to-end delivery of customer engagements — from discovery and design through implementation, enablement, and optimization.
  • Partner with customers to architect, deploy, and operationalize Elastic solutions that drive measurable value and adoption.
  • Provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
  • Collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
  • Capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.
  • Contribute to internal enablement, mentoring, and a culture of continuous learning and collaboration
  • Guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalization, and related technologies.
  • Design and implement custom dashboards, visualizations, and alerting for critical observability use cases in Kibana.
  • Optimize ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

Benefits

  • Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders.
  • Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.
  • Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

501-1,000 employees

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