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McAfee Tech Stack

Consumer and enterprise cybersecurity platform with AI-driven threat detection

Computer and Network Security San Jose, California 1,001–5,000 employees Privately Held

McAfee operates a consumer and enterprise security platform, currently undergoing significant modernization in data infrastructure and AI capabilities. The company is actively adopting Claude, Amazon Bedrock, and GitHub Copilot while migrating away from Okta, coupled with major projects in resilient ETL pipelines, scam and deepfake detection AI training, and real-time monitoring frameworks. The hiring mix—dominated by senior engineers, data, and marketing talent across five countries—reflects both engineering depth and accelerating sales motion to drive adoption.

Tech Stack 132 technologies

AdoptingGitHub Copilot Delta Lake Apache Iceberg Claude Amazon Bedrock
ReplacingOkta

What McAfee Is Building

Challenges

  • Reducing churn
  • Resilient etl pipelines
  • Upgrading data systems and storage
  • Ensuring high-quality telemetry data
  • Conversion rate improvement
  • Expanding test coverage
  • Scaling analytics function
  • Insufficient product analytics insights
  • Driving efficiency
  • Data-driven decision making

Active Projects

  • Resilient etl pipelines
  • Martech platform integration and optimization
  • Checkout testing strategy
  • Fraud prevention initiatives
  • Advanced analytics programs
  • Real-time monitoring and alerting frameworks
  • Scalable data model development
  • Scam and deepfake detection ai training
  • Data innovation initiatives
  • Data architecture design

Hiring Activity

Accelerating70 roles · 50 in 30d

Department

Engineering
17
Data
11
Marketing
11
Product
9
Design
5
Finance
4
Ops
2
Security
2

Seniority

Senior
43
Mid
9
Director
4
Lead
4
Manager
3
Principal
2

Notable leadership hires: Creative Director, Monetization Director

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About McAfee

McAfee is a cybersecurity company serving both consumer and enterprise markets from its San Jose headquarters. The organization spans 1,001–5,000 employees and operates across multiple product and service lines, from threat detection to fraud prevention. Current operational focus includes building scalable data architecture to support real-time monitoring and analytics, improving product-market fit through data-driven insights, and deploying AI-powered systems for scam and deepfake detection. The company maintains active engineering and data operations across the United States, Canada, Ireland, Spain, and India.

HeadquartersSan Jose, California
Company Size1,001–5,000 employees
Hiring MarketsUnited States, Canada, Ireland, Spain, India

Frequently Asked Questions

What is McAfee's tech stack?

Core: SQL, Python, Node.js, AWS, GCP, Terraform. Monitoring: Datadog, CloudWatch, AppDynamics. Analytics: Google Analytics, Adobe Analytics, Power BI, Tableau, Looker. Workflow: Jira, Confluence, GitHub. ML: scikit-learn, pandas. Adopting: Claude, Amazon Bedrock, GitHub Copilot, Delta Lake, Apache Iceberg.

What is McAfee currently building?

Primary focus: scam and deepfake detection AI training, resilient ETL pipelines, real-time monitoring and alerting frameworks, fraud prevention initiatives, advanced analytics programs, and scalable data model development. Also optimizing martech integration and checkout testing strategy.

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