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Obsidian Security Tech Stack

SaaS security platform for threat detection and incident response

Computer and Network Security Palo Alto, California 51–200 employees Founded 2017 Privately Held
obsidiansecurity.com LinkedIn

Obsidian Security builds a comprehensive security platform for SaaS environments, with a tech stack built around Snowflake, Kafka, Elasticsearch, and Databricks for threat detection and response workflows. The company is aggressively hiring across sales (47 roles) while maintaining a smaller engineering core, paired with active projects around intelligent detection systems and infrastructure automation — indicating a product-led engineering phase shifting toward sales-driven scaling. Pain points center on SaaS-specific risk reduction and multi-tenant platform reliability, core to their market positioning.

Tech Stack 58 technologies

Core StackSalesforce Snowflake SentinelOne Databricks AWS Terraform Ansible Helm Kubernetes Kafka Elasticsearch Cassandra Sentry Dagster Apache Airflow Python Go PostgreSQL Docker CrowdStrike Okta TypeScript Rust Workday GCP Vault Kong Pure Storage Cylance Carbon Black+28 more
AdoptingSentinelOne Databricks GCP

What Obsidian Security Is Building

◆Challenges

  • Scaling quickly toward ipo readiness
  • Reducing risk in saas
  • Detecting and responding to threats
  • Preventing breaches
  • Closing gap in saas security
  • Ensuring reliability for multi-tenant saas platform
  • Partner ecosystem expansion
  • Continuous compliance
  • Scaling product security program
  • Audit fatigue

▲Active Projects

  • Account health checks and quarterly business review
  • Account/territory plan execution
  • High-performance sales team
  • Implementing intelligent detection systems
  • New logo acquisition
  • Automating infrastructure operations
  • Solution proof-of-value engagements
  • Partner launches and campaigns
  • Co-marketing programs with strategic partners
  • Customer success strategy

Hiring Activity

Accelerating80 roles · 70 in 30d

Department

Sales
47
Engineering
13
Support
7
Marketing
6
HR
3
Security
3
Data
2

Seniority

Senior
57
Mid
9
Staff
5
VP
4
Principal
3
Lead
2
Director
1

Notable leadership hires: Tech Lead Data Scientist

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About Obsidian Security

Obsidian Security provides threat detection, incident response, and insider threat protection for enterprise SaaS applications. Founded in 2017 and based in Palo Alto, the company operates across the United States, United Kingdom, and Australia. The platform is designed to reduce risk and mitigating threats across business-critical applications. With 51–200 employees and 82 active hiring roles (69 posted in the last 30 days), the company is in rapid expansion mode, with a pronounced emphasis on sales coverage and go-to-market execution alongside continuous product development in detection and infrastructure automation.

HeadquartersPalo Alto, California
Company Size51–200 employees
Founded2017
Hiring MarketsUnited Kingdom, United States, Australia

Frequently Asked Questions

What tech stack does Obsidian Security use?

Obsidian's core stack includes Snowflake, Kafka, Elasticsearch, Databricks, GCP, AWS, Kubernetes, PostgreSQL, Python, and Go. They are actively adopting SentinelOne, Databricks, and GCP.

Is Obsidian Security hiring engineers?

Yes, with 13 active engineering roles and 82 total open positions across the organization. The company is hiring in the United States, United Kingdom, and Australia, with accelerating velocity.

Where is Obsidian Security headquartered?

Obsidian Security is headquartered in Palo Alto, California, and was founded in 2017. The company employs 51–200 people and is privately held.

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How this profile is built

Obsidian Security's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.