echoloc

Elastic Tech Stack

Search and observability platform built on distributed search infrastructure

Software Development San Francisco, California 1,001–5,000 employees Public Company

Elastic operates a three-pillar product suite—search, observability, and security—all layered on Elasticsearch, a distributed search engine. The company is publicly traded, headquartered in San Francisco, and operates at scale across 1,001–5,000 employees. Stack composition (Java, Lucene, Kubernetes, multi-cloud deployment) and active projects (shard limits, vector search enhancements, cluster coordination) reveal an infrastructure-heavy engineering org focused on solving scale and reliability; concurrently, adoption of OpenTelemetry and Jina AI signals a move toward embeddings and semantic search capabilities.

Tech Stack 145 technologies

Core StackElasticsearch Salesforce Elastic Stack Java Marketo GitHub Kubernetes .NET C# Python JavaScript Terraform Docker Slack Zoom AWS Linux Go Elastic Security Elastic APM Elastic Cloud Elastic Observability SIEM XDR LinkedIn CRM Bash Lucene GCP Azure+110 more
AdoptingElasticsearch OpenTelemetry Elastic Stack Crossplane Elastic Cloud Netty Elastic Observability Jina AI+11 more
ReplacingSalesforce CPQ

What Elastic Is Building

Challenges

  • Scaling demands
  • Expanding enterprise accounts
  • Reliability of global infrastructure
  • Optimizing query performance
  • Improving search relevance
  • Maintaining cluster coordination
  • Platform efficiency
  • Automating network engineering
  • Preventing repeated customer impact
  • Improving incident response

Active Projects

  • Pushing shard limits
  • Elastic cloud platform (ecp) strategy and roadmap
  • Next-generation security solutions
  • Maintaining cluster coordination system
  • Improving concurrent indexing components
  • Core search platform
  • Proof-of-value projects for elastic security detection and incident response
  • Enhancing vector and keyword search functionality
  • Security service offerings development
  • Pushing limits on shards and petabytes

Hiring Activity

Steady1,100 roles · 400 in 30d

Department

Engineering
566
Sales
138
Product
130
Security
75
Marketing
55
Support
29
Finance
13
HR
10

Seniority

Senior
513
Principal
299
Mid
94
Manager
57
Director
43
Junior
26
Lead
12
Intern
1

Notable leadership hires: Editorial Lead, Tech Lead, Alliance Director, Director of product management, Director of Marketing

Company intelligence

Find more companies like Elastic by tech stack, pain points and active projects

Get started free

About Elastic

Elastic builds a search and data platform used by more than half of Fortune 500 companies. The core product—Elasticsearch—serves as the foundation for three solution categories: search (including vector and keyword), observability (APM, monitoring, logs), and security (SIEM, XDR, detection and response). The company operates across 25+ countries with a large engineering footprint (566 roles) and an active sales motion (138 roles), alongside product and security teams. Active scaling challenges include cluster coordination reliability, query performance optimization, and expansion into enterprise accounts.

HeadquartersSan Francisco, California
Company Size1,001–5,000 employees
Hiring MarketsIndonesia, Japan, Saudi Arabia, United Arab Emirates, Denmark, Germany, United States, Norway

Frequently Asked Questions

What tech stack does Elastic use?

Elasticsearch, Java, Lucene, Kubernetes, Docker, Terraform, Python, JavaScript, .NET, C#, Go, Bash, AWS, GCP, Azure. Adopting: OpenTelemetry, Jina AI, Netty, Crossplane.

Where does Elastic hire?

25 countries: United States, United Kingdom, Germany, France, Spain, Japan, India, Israel, Singapore, Australia, and others across Europe, Middle East, and Asia-Pacific regions.

Similar Companies in Software Development

Other companies in the same industry, closest in size