Deepesh Nair

👉 Head of Enterprise Reliability & Support @ Meta | AI-Native Platform Ops | 700+ Products | 100+ Engineers

Role
Head of Enterprise Support, Quality Engineering & Product Operations at Meta
Location
Seattle, WA, US
LinkedIn followers
500 followers

About Deepesh Nair

With 21+ years at Meta, Amazon, and Dataminr, I lead global engineering organizations (100+ FTEs & vendor engineers) to deliver- AI-powered test automation, triage, and monitoring that accelerate resolution and boost reliability- Developer productivity frameworks that save millions in cloud costs and increase velocity- Enterprise product & tech operations across HRIS, Finance, Supply Chain, and Workplace- Compliance & multi-region transformations (GDPR, EMEA builds, large-scale infra)I’m passionate about enabling engineers to do their best work by scaling AI-enabled platforms that align reliability, compliance, and business outcomes. Open to Director / Sr. Director/ VP roles in Engineering, Productivity, or Platform Reliability.Specialties:AI in Test Automation & Triage • AI-Driven Developer Productivity • Platform Reliability & PRE • Developer Experience (DevEx) • CI/CD & Automation • Enterprise Platforms (Salesforce, Workday, Oracle, HRIS, Finance) • Global Compliance & Regionalization • Engineering Strategy • Cross-Functional Leadership • Cloud Infrastructure (AWS, Kubernetes) • Digital Transformation

Experience

  1. Head of Enterprise Support, Quality Engineering & Product Operations

    Meta

    Feb 2024 — Present · Seattle, WA, US

    Lead enterprise reliability, release governance, product operations, and enterprise support for ~700 Meta internal platforms across Finance, Supply Chain, People Engineering, Meta.com, and Enterprise Foundations- Own enterprise support model including tiered support structure, incident response, escalation management, and service-level objectives for internal enterprise customers across Meta- Manage global organization of 100+ engineers (FTE + vendor) delivering AI-driven testing, monitoring, support tooling, and developer productivity platforms- Built AI-native quality frameworks including LLM-based evaluation harnesses, synthetic test-data services, and model-based testing to improve reliability of large-scale enterprise systems- Partner with Engineering Directors, Product leaders, and Infrastructure teams to improve enterprise customer experience, reduce production incidents, and increase release velocity across 600+ products- Established enterprise support readiness reviews, release certification programs, and cross-org reliability governance across Meta’s enterprise stack.

Education

  • University of Michigan - Stephen M. Ross School of Business

    Master of Business Administration - MBA, General Management, Strategy, Finance,Marketing

  • University of Madras

    Bachelor of Engineering - BE, Telecommunications Engineering

  • The University of Texas at Arlington

    Master of Science - MS, Telecommunications Engineering

Skills

  • Test Automation Framework
  • Agile Methodologies
  • Scalability
  • Software Engineering
  • Software Design
  • Eclipse
  • User Acceptance Testing
  • Integration Testing
  • Xml
  • Software Development
  • Scrum
  • Unix
  • Team Leadership
  • Quality Assurance
  • Automation
  • Software Project Management
  • Selenium
  • Test Management
  • Integration
  • Manual Testing
  • Junit
  • .net
  • Regression Testing
  • Test Planning
  • Performance Testing
  • Test Cases
  • Perl
  • Testing
  • Sql
  • Qtp
  • Black Box Testing
  • Cross-Functional Team Leadership
  • Web Applications
  • Shell Scripting
  • Agile Testing
  • Distributed Systems
  • Test Automation
  • Web Services
  • Agile Project Management
  • Sdlc

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Deepesh Nair — Head of Enterprise Support, Quality Engineering & Product Operations at Meta in Seattle, WA, US | Unifers